{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "5f61adaa-76b1-4764-aace-a67bd871eb73",
   "metadata": {},
   "source": [
    "计算角度"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "id": "167ca402-8999-4d9a-b3d5-e6b14829813a",
   "metadata": {},
   "outputs": [],
   "source": [
    "def cul_a_degree(a, b, c):\n",
    "    \"\"\"\n",
    "    计算三角形ABC中，角ABC的度数。\n",
    "    :param a: 点A的坐标\n",
    "    :param b: 点B的坐标\n",
    "    :param c: 点C的坐标\n",
    "    :return: 角ABC的度数\n",
    "    \"\"\"\n",
    "    ba = np.array(a) - np.array(b)\n",
    "    bc = np.array(c) - np.array(b)\n",
    "    \n",
    "    cos_angle = np.dot(ba, bc) / (np.linalg.norm(ba) * np.linalg.norm(bc))\n",
    "    angle = np.arccos(np.clip(cos_angle, -1.0, 1.0))\n",
    "    return np.rad2deg(angle)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "7c2ad7d5-f8a2-4d77-b1b0-1ea18075b7ea",
   "metadata": {},
   "source": [
    "主要代码"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "id": "7350bef8-64ba-46cd-b5b1-77bb904d3fa4",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1200x1000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 初始位置（极坐标：半径，角度）\n",
    "initial_positions_polar = [\n",
    "    (0, 0),\n",
    "    (100, 0),\n",
    "    (98, 40.10),\n",
    "    (112, 80.21),\n",
    "    (105, 119.75),\n",
    "    (98, 159.86),\n",
    "    (112, 199.96),\n",
    "    (105, 240.07),\n",
    "    (98, 280.17),\n",
    "    (112, 320.28)\n",
    "]\n",
    "\n",
    "# 将极坐标转换为直角坐标 (x, y)，角度转为弧度\n",
    "initial_positions = [(r * np.cos(np.deg2rad(theta)), r * np.sin(np.deg2rad(theta))) for r, theta in initial_positions_polar]\n",
    "\n",
    "# 目标位置计算，半径100米，每隔40度分布\n",
    "radius = 100\n",
    "target_positions = [(0, 0)] + [(radius * np.cos(np.deg2rad(i * 40)), radius * np.sin(np.deg2rad(i * 40))) for i in range(9)]\n",
    "\n",
    "# 将初始位置转换为数组\n",
    "positions = np.array(initial_positions)\n",
    "\n",
    "# 用于判断是否固定位置\n",
    "fixed_positions = [False] * len(positions)  # 初始所有无人机位置未固定\n",
    "\n",
    "# 创建图像\n",
    "fig, axes = plt.subplots(3, 4, figsize=(12, 10))  # 4x4 子图阵列\n",
    "plot_index = 0\n",
    "plot_interval = 10\n",
    "\n",
    "# 迭代直到所有无人机都到达目标位置\n",
    "iteration = 0\n",
    "while not all(fixed_positions):\n",
    "    # 每 plot\\_interval 次迭代绘制一次图形\n",
    "    if iteration % plot_interval == 0 and plot_index < 12:\n",
    "        ax = axes[plot_index // 4, plot_index % 4]  # 获取当前的子图位置\n",
    "        ax.set_xlim(-120, 120)\n",
    "        ax.set_ylim(-120, 120)\n",
    "        ax.set_aspect('equal')\n",
    "\n",
    "        # 画圆表示目标分布的边界\n",
    "        circle = plt.Circle((0, 0), radius, color='blue', fill=False, linestyle='--')\n",
    "        ax.add_artist(circle)\n",
    "\n",
    "        # 画目标位置\n",
    "        target_x, target_y = zip(*target_positions)\n",
    "        ax.plot(target_x, target_y, 'go', label='Target Position')\n",
    "\n",
    "        # 画当前无人机位置\n",
    "        current_x, current_y = zip(*positions)\n",
    "        ax.plot(current_x, current_y, 'ro', label='Current Position')\n",
    "\n",
    "        ax.set_title(f\"Iteration: {iteration + 1}\")\n",
    "        ax.grid(True)\n",
    "\n",
    "        plot_index += 1\n",
    "\n",
    "    # 选择第三架定位飞机\n",
    "    min_distance = float('inf')\n",
    "    chosen_j = None\n",
    "    \n",
    "    for j in range(2, len(positions)):  # 遍历剩余的无人机\n",
    "        distance = np.linalg.norm(np.array(positions[j]) - np.array(target_positions[j]))\n",
    "        if distance < min_distance:\n",
    "            min_distance = distance\n",
    "            chosen_j = j\n",
    "\n",
    "    # 如果所有未固定的无人机都已固定，退出循环\n",
    "    if chosen_j is None:\n",
    "        break\n",
    "\n",
    "    # 计算新的位置和角度\n",
    "    if chosen_j is not None:\n",
    "        # 使用选定的三架飞机 0, 1, chosenj 计算 θk 和 rk\n",
    "        o_pos = np.array(positions[0])  # 0号无人机的位置\n",
    "        i_pos = np.array(positions[1])  # 1号无人机的位置\n",
    "        j_pos = np.array(positions[chosen_j])  # 选择的第三架无人机的位置\n",
    "    \n",
    "        # 计算角度 θi、θj（弧度制）\n",
    "        theta_i = np.arctan2(i_pos[1] - o_pos[1], i_pos[0] - o_pos[0])\n",
    "        theta_j = np.arctan2(j_pos[1] - o_pos[1], j_pos[0] - o_pos[0])\n",
    "\n",
    "        # 将 thetaj 调整到 [0, 2π) 范围\n",
    "        if theta_j < 0:\n",
    "            theta_j += 2 * np.pi\n",
    "    \n",
    "        # 遍历所有其他无人机来计算新的位置\n",
    "        for k in range(len(positions)):\n",
    "            if k in [0, 1, chosen_j] or fixed_positions[k]:  # 排除 0, 1, chosen\\_j 自己以及已固定位置\n",
    "                continue\n",
    "                \n",
    "            k_pos = np.array(positions[k])  # 当前要计算的无人机位置\n",
    "            # θk\n",
    "            theta_k = np.arctan2(k_pos[1] - o_pos[1], k_pos[0] - o_pos[0])\n",
    "\n",
    "            # 将 thetak 调整到 [0, 2π) 范围\n",
    "            if theta_k < 0:\n",
    "                theta_k += 2 * np.pi\n",
    "\n",
    "            # 计算角度和距离的差值\n",
    "            alpha1 = np.deg2rad(cul_a_degree(o_pos, k_pos, i_pos))  # ∠oki\n",
    "            alpha2 = np.deg2rad(cul_a_degree(i_pos, k_pos, j_pos))  # ∠okj\n",
    "            alpha3 = np.deg2rad(cul_a_degree(j_pos, k_pos, o_pos))  # ∠jko\n",
    "\n",
    "            # 计算新的 θk，9种情况\n",
    "            # 分3大类（由于i固定，因此只有两大类）\n",
    "            if theta_k < theta_j:   # i < k < j\n",
    "                if theta_j - theta_k < np.pi and theta_k < np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 + theta_j) - np.sin(alpha3) * np.sin(alpha1 - theta_i)) /\n",
    "                        (np.sin(alpha3) * np.cos(alpha1 - theta_i) + np.sin(alpha1) * np.cos(alpha3 + theta_j))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 rk \n",
    "                    r_k = radius * np.sin(theta_k_new - theta_i + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                elif theta_j - theta_k > np.pi and theta_k < np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 - theta_j) - np.sin(alpha3) * np.sin(alpha1 - theta_i)) /\n",
    "                        (np.sin(alpha3) * np.cos(alpha1 - theta_i) - np.sin(alpha1) * np.cos(alpha3 - theta_j))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 rk \n",
    "                    r_k = radius * np.sin(theta_k_new - theta_i + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                else:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 + theta_j) - np.sin(alpha3) * np.sin(alpha1 + theta_i)) /\n",
    "                        (np.sin(alpha1) * np.cos(alpha3 + theta_j) - np.sin(alpha3) * np.cos(alpha1 + theta_i))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    r_k = radius * np.sin(theta_i - theta_k_new + alpha1) / np.sin(alpha1)\n",
    "\n",
    "            \n",
    "            else:                   # i < j < k\n",
    "                if theta_k < np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 - theta_j) - np.sin(alpha3) * np.sin(alpha1 - theta_i)) /\n",
    "                        (np.sin(alpha3) * np.cos(alpha1 - theta_i) - np.sin(alpha1) * np.cos(alpha3 - theta_j))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    r_k = radius * np.sin(theta_k_new - theta_i + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                elif theta_k > np.pi and theta_k - theta_j > np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 + theta_j) - np.sin(alpha3) * np.sin(alpha1 + theta_i)) /\n",
    "                        (np.sin(alpha1) * np.cos(alpha3 + theta_j) - np.sin(alpha3) * np.cos(alpha1 + theta_i))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    r_k = radius * np.sin(theta_i - theta_k_new + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                else:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha3) * np.sin(alpha1 + theta_i) - np.sin(alpha1) * np.sin(alpha3 - theta_j)) /\n",
    "                        (np.sin(alpha1) * np.cos(alpha3 - theta_j) + np.sin(alpha3) * np.cos(alpha1 + theta_i))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    r_k = radius * np.sin(theta_i - theta_k_new + alpha1) / np.sin(alpha1)\n",
    "\n",
    "            # 此时k号飞机已经通过计算知道了实际位置，比较更新前后的位置，更优才进行更新\n",
    "            # 计算positions[k]  和  rk * np.cos(thetaknew) rk * np.sin(thetaknew)    哪个离 targetpositions[k]近，如果positions[k] 更近，则更新\n",
    "            # 更新 k 处无人机的位置\n",
    "            # positions[k][0] = rk * np.cos(thetaknew)\n",
    "            # positions[k][1] = rk * np.sin(thetaknew)\n",
    "\n",
    "            # 计算新位置\n",
    "            new_x = r_k * np.cos(theta_k_new)\n",
    "            new_y = r_k * np.sin(theta_k_new)\n",
    "            \n",
    "            # 计算当前位置与目标位置的距离\n",
    "            current_distance = np.linalg.norm(positions[k] - target_positions[k])\n",
    "            \n",
    "            # 计算新位置与目标位置的距离\n",
    "            new_distance = np.linalg.norm(np.array([new_x, new_y]) - target_positions[k])\n",
    "            \n",
    "            # 如果新位置更接近目标位置，则更新无人机的位置\n",
    "            if new_distance < current_distance:\n",
    "                positions[k][0] = new_x\n",
    "                positions[k][1] = new_y\n",
    "\n",
    "            # 检查更新后无人机是否已到达目标位置\n",
    "            if np.linalg.norm(positions[k] - target_positions[k]) < 1:\n",
    "                fixed_positions[k] = True  # 标记为固定位置\n",
    "                print(f\"固定了:{k}\")\n",
    "\n",
    "    iteration += 1  # 增加迭代次数\n",
    "    if iteration > 120:\n",
    "        break\n",
    "\n",
    "# 设置整体标题\n",
    "plt.suptitle('Drones Position Adjustment Over Iterations', fontsize=16)\n",
    "plt.tight_layout(rect=[0, 0.03, 1, 0.95])\n",
    "\n",
    "# 显示图形\n",
    "# plt.show()\n",
    "plt.savefig('iter.png', dpi=300)"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "e01064e2-224d-4279-b962-ce9ba9296856",
   "metadata": {},
   "source": [
    "缩小范围，查看迭代何时收敛"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "id": "ade63f1b-e138-4e06-8e6d-c7a05f2a210b",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "总体平均误差率: 0.0500\n",
      "总体平均误差率: 0.0472\n",
      "总体平均误差率: 0.0446\n",
      "总体平均误差率: 0.0422\n",
      "总体平均误差率: 0.0403\n",
      "总体平均误差率: 0.0388\n",
      "总体平均误差率: 0.0377\n",
      "总体平均误差率: 0.0367\n",
      "总体平均误差率: 0.0357\n",
      "总体平均误差率: 0.0349\n",
      "总体平均误差率: 0.0341\n",
      "总体平均误差率: 0.0335\n",
      "总体平均误差率: 0.0330\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n",
      "总体平均误差率: 0.0329\n"
     ]
    },
    {
     "data": {
      "image/png": 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bx/cYMGCA2fuHDBkCADh16hSuXLmS5v6WLVuaHbi2YsWKAJBqPJDk5GT8+uuvAGAaR+hpderUgbe3Nw4cOGAaS6du3boAgNmzZ2Pp0qWmcXtyatCgQaZxSfLnz49nn30WZ86cQenSpbFhwwbkzZsXSUlJ2LFjBwCkmQHRyPgebdmyxbQst2LOCuO+bdeuHfz8/NLcX7t2bVSvXh3JycmmcWxSCg4ORvXq1dMsN7dvLZGUlIQlS5YAAAYPHpzqvv79+8PV1RXbtm3DmTNnzG5H3759za43vc+utdWqVQt6vR5ff/01FixYgJiYGKutOzg4GFWqVEmzvGzZsgDkvipatGi696f8bh44cABXrlxB6dKlUbt2bbOv16xZMwDAX3/9Zfb+Tp06pVnm4eGBUqVKAcj6vrcmIYTZ5cZxwL7//vs0Y6V98803AFJ/7rKbj1JKL6/mpl9++QVA+jEbx1tLSkoyO3lAq1atkC9fvgxf4/Tp0/jkk08wZswYDBkyBAMHDsTAgQNx7do1ADA7tlR27Nu3D3FxcShYsKDZz5yXlxd69eoFIHV+TSkrn9V69eoBAF577TVEREQgLi4ux9tARETWx6IUEZEdunnzJgCgYMGCZu8PCQkxu9x4wF6yZEmz9+fPn9+0zsuXL6e5P73pvX19fQEg1YncrVu3EBsbCwAICgpKNSCu8cfFxQVxcXFITk7GrVu3AMgT6EmTJuH69esYMGAAChcujPLly2Pw4MH48ccfTQW5rHrmmWcwYMAADBgwAEOHDsUbb7yBn376CcePHzcVY27dumXahvTeo9KlSwNIffKTWzFnRWb7FjAfu1Fm+zY+Pj5L8fzyyy+4evUqAgIC0LZt21T3+fn5oUOHDhBCpBm83Pi5S287Mto+aypdujQ+/PBDJCYm4pVXXkHx4sUREhKC3r17Y9myZUhISMj2utN7r729vTO838fHB0Dq79nZs2cBAGfOnDH7HdPpdKaT8xs3bmQpHnPf65wqXLgwAJgKHpm5fv266fciRYqYfi9VqhSaNm2Ke/fuYd26dablBw4cwD///IPixYujTZs2puXZzUcppZdXc5Nx/z7//PPp7l/jIN/m9m9GMRsMBrz00ksoV64cRo4cifnz5+Prr7/GkiVLsGTJEtNrG9+3nMppjgKy9ll9/vnn0bdvX5w8eRLdu3dH/vz5Ua1aNYwYMQKbN2/O1jYQEZH1uaoOgIiIskYIgQMHDgAAqlatavYxefLkyZXXdnGx/FpGykKMJa1bPDw8TL/PnDkTL774In766Sds374dO3bswDfffINvvvkGdevWxZYtW5A3b94sxf7CCy+k2/rJGnIjZlvKyr61hHF2vcePH6Np06Zp7jeedC5evBhvv/029Hq9VV8/K9IrGo4cORI9evTA+vXrsX37dmzfvh0rV67EypUrMWXKFERFRcHf3z/Lr5fZe52d71mxYsXSFP+eZiwI5eT1cqp27dr47rvv8PfffyMpKQmurhkfiu7ZswcAUKhQoTQFlsGDByMyMhKLFy9Gnz59ADxpJdW/f/9Un6mc5COj3MqrGTHGnV4LyJRKlCiRZllGMc+fPx+LFi1CsWLFMHfuXDRq1Ah+fn7w9PQEAPTp0wcrVqxIt7WaCln5rLq4uOC7777D//73P/zyyy/YsWMHduzYgYULF2LhwoXo1KkT1q1bpzT3EBERi1JERHZnw4YNuHPnDgCkaglgiYCAABw/ftx0Bfxp9+7dM3U9CwgIyFGchQsXRp48efDo0SPMmTMn3RPi9ISEhGDkyJEYOXIkAGDv3r3o168f9u7di9mzZ5umJbemQoUKwcPDA/Hx8Th79iyqVauW5jHG987c+6MiZiNjPOnt25T35XTfZiYmJsbUeuPWrVumLpHmXLlyBRs3bsSzzz5riu348eM4f/682centzwj7u7uAID79++bvf/ChQvpPtfPzw9Dhw7F0KFDAQDHjx/H4MGDsXPnTrz22mumLoqqBAUFAZCf3cWLFyuNxRKdOnXC+PHjce/ePfz444/o3r17uo8VQuDbb78FAHTs2DFNd+Xu3bvjlVdewaZNm3Dp0iX4+flh+fLlAGR33ZRymo9UCQoKwvHjxzFkyBCrdx9ctWoVAOCzzz5D586d09x/6tQpq76eMe+cO3cu3cfkRo6qVKkSKlWqhAkTJkAIgc2bN6NPnz746aefsHTp0jSfFSIisi123yMisiP37t3D2LFjAQCtW7dGjRo1svR849gy6Z1IG7tSlS1bNscnBXq9Hq1btwbw5OQnJ+rWrYsRI0YAAA4ePJjj9Znj6uqKxo0bA0C6J/jG96h58+aZri87MRsLKElJSRY93si4bzdu3Gi2a9SBAwdw8OBBuLi4oEmTJllad1YtXrwYBoMB9evXh5CTqpj9mThxIoAnraoAmFpVLVu2zOy6ly5dmuV4jJ/lY8eOpbnv6tWr+Pvvvy1eV4UKFTBp0iQAafdpdvddTtStWxeFCxfG0aNHceTIEZu8Zk62s3Tp0ujRowcAYMKECbh79266j/30009x6NAhuLq6YsKECWnu9/LyQs+ePZGcnIylS5fip59+wq1bt/DMM8+gXLlyqR5r7XxkLZm9l+3btweQOzEbL0CYa2F15MiRdHNWdve/ccyu27dvY/369Wnuf/ToEVauXAnAsvyaHTqdDi1btjS1rMut/yVERGQ5FqWIiOyAEAK//vor6tWrh1OnTsHf3x9ffPFFltczdOhQ+Pr64u+//8Z7772XqlvGgQMHMH36dAAwewKYHVOmTIG7uzsmTJiAJUuWmO0mdfjwYURERJj+XrduHbZt25bmsYmJidi4cSMA8ydR1jJ+/HgAwMKFC7Fp06ZU9y1evBjr16+Hm5sbRo8enSsxBwYGAkCWCwyNGzdG/fr18ejRIwwfPhwPHz403Xfz5k0MHz4cANCrVy9T65rcYizcZdZNqn///gCAn3/+2TQezpAhQ+Dt7Y2dO3fio48+SvX4yMhILFq0KMvxtGrVCgAwa9asVEWQGzduoH///mYHQN68eTM2bNiAxMTEVMuFEPj5558BpN2n2d13OeHm5oYpU6ZACIFu3bph+/btaR5jMBiwefNm7Nq1yyqvmdPtXLBgAUJCQnDu3Dm0aNEizXqSkpIwd+5c03ds1qxZqFy5stl1GQczX7x4selzl17Ll+zko9yW2Xs5bNgwlChRAqtXr8akSZPMtva7evVqtv4fGCcxWLBgQar3IiYmBv3790+36JTd/e/p6YmXX34ZgMyzKVsoJiYmYvTo0bh69SpKlixplVZhS5cuxf79+9Msv3//vmlChdz8X0JERBay+Xx/RERklnE6+WeeeUYMGDBADBgwQPTq1Uu0atVKFCxY0DQldrNmzcTZs2czXEd6U9ILIcRPP/0kPD09BQBRoUIF0bt3b9GyZUvh6uoqAIhBgwaleU5mU4Abpzxv2rRpmvtWrVolvLy8BAARGBgo2rRpI/r27Svat28vAgMDBQDRs2dP0+NHjx4tAIjChQuL1q1bi759+4rOnTuLokWLCgAiICBAXLp0KcP30tx78s0331j8nDfffFMAEDqdTjRu3Fj06dNH1KpVSwAQer1efPXVV6ken52YjfvzaT///LMAINzd3UXHjh3F4MGDxZAhQ8SOHTsyfe6ZM2dM21u0aFERHh4uunTpInx9fQUAUatWrVTTxguR8b7L7PXMiYyMFACEh4dHmtcyx/i+zpkzx7RsxYoVQq/XCwCiatWqonfv3qJJkyZCp9OJsWPHphtPep//O3fupHpfunTpIlq1aiXy5csnqlatKrp27ZrmM/Lhhx8KAMLX11c0a9ZM9OnTR3Tr1s20nnz58okDBw6kep1PPvlEABDe3t4iLCxMDBkyRAwZMkQcP35cCJH5e/3NN98IAGLAgAFm78/oezhhwgTT+1K5cmXRpUsX0atXL9GsWTORP39+AUAsXLgw1XMy269NmzYVAMSWLVtSLbfkM5qZy5cvizp16pi+Z3Xr1hW9evUSnTt3FkWKFDGtf968eZmuq2LFiqZtyZs3r7h//366j81qPsrofbCUcb9n9/t++PBhERISIgCI/PnziyZNmog+ffqIrl27ikqVKgmdTif8/PxSrTeznC2EELt27RLu7u4CgChTpozo0aOHaNeunciTJ4+oXLmy6Natm9ncefXqVZE3b17T/6uBAweKIUOGiK+//jrT9+zx48eiZcuWAoDIkyeP6NChg+jZs6cIDg4WAEShQoXEvn370sSanc9qly5dBABRvHhx0aFDB9G3b1/RoUMHkS9fPgFAVKlSRcTGxqa7TiIisg0WpYiINMJ4spvyJ2/evKJ48eKiadOmYvz48WLPnj0WrSOjopQQQhw9elQMGDBABAYGCjc3N5E/f37RvHlzsXLlSrOPz0lRSgghzp07J8aOHSuqVKki8ubNKzw9PUWJEiVEs2bNxMyZM8Xp06dNjz1w4IB47bXXROPGjUVAQIBwd3cXRYoUEbVr1xbvvfeeuHnzZobb9rTsFKWEEOLXX38VHTp0EIUKFRKurq6iWLFi4rnnnhO7d+9O89jsxJzRSdYXX3whatWqZTp5fjr+jJ5769Yt8frrr4uKFSsKT09P4eXlJWrWrClmzpwpHj58mObx1i5KPf/88wKACA8Pt+jx8+bNEwBExYoVUy2PiooSbdu2Fb6+vqZt+OyzzzKMx7ivz58/n+a+y5cvi/79+4uiRYsKd3d3UbJkSTFhwgRx//59MWDAgDTv8enTp8XUqVNFy5YtRXBwsPD09BQFChQQ1apVE6+99prZwqjBYBAzZswQlStXNhV+U54o52ZRSgghduzYIfr27StKlCghPDw8hI+PjyhXrpzo2rWr+PLLL9MUCbNblBIi88+oJQwGg1ixYoXo0qWLKF68uHB3dxe+vr6iatWqYvz48ZnmMaPZs2ebYkjvvUspK/lIiNwtSglh2XsZGxsrZs+eLRo2bCjy588v3NzchL+/v6hbt66YMGGC+Ouvv1I93pKilBBCHDp0SHTu3Fn4+/sLT09PUbZsWTFx4kQRGxtr9nthtG3bNtGqVStRoEAB4eLikua9z+g9S0xMFJ9++qlo0KCB8PHxEe7u7qJ06dJi5MiR4vLly2bjzM5nddu2bWLMmDGiXr16olixYsLd3V0UK1ZMNGzYUHz88cciLi4uw/eGiIhsQyeEhqbUICIiIsqmokWL4saNG7h+/TqKFCmiOhwiIiIiygTHlCIiIiK7d/bsWdy4cQMFCxZkQYqIiIjITrAoRURERHZr+/bteO6551CvXj0AwMCBA9UGREREREQWY1GKiIiI7Nbp06exbt065MmTBxMmTMB7772nOiQiIiIishDHlCIiIiIiIiIiIptjSykiIiIiIiIiIrI5FqWIiIiIiIiIiMjmWJQiIiIiIiIiIiKbY1GKiIiIiIiIiIhsjkUpIiIiIiIiIiKyORaliIiIiIiIiIjI5liUIiIiIiIiIiIim2NRioiIiIiIiIiIbI5FKSIiIiIiIiIisjkWpYiIiIiIiIiIyOZYlCIiIiIiIiIiIptjUYqIiIiIiIiIiGyORSkiIiIiIiIiIrI5FqWIiIiIiIiIiMjmWJQiIiIiIiIiIiKbY1GKiIiIiIiIiIhsjkUpIiIiIiIiIiKyORaliIiIiIiIiIjI5liUIiIiIiIiIiIim2NRioiIiIiIiIiIbI5FKSIiIiIiIiIisjkWpYiIiIiIiIiIyOZYlCIiIiIiIiIiIptjUYqIiIiIiIiIiGyORSkiIiIiIiIiIrI5FqWIiIiIiIiIiMjmWJQiIiIiIiIiIiKbY1GKiIiIiIiIiIhsjkUpIiIiIiIiIiKyORaliIiIiIiIiIjI5liUIiIiIiIiIiIim2NRioiIiIiIiIiIbI5FKSIiIiIiIiIisjkWpYiIiIiIiIiIyOZYlCIiIiIiIiIiIptjUYqIiIiIiIiIiGyORSkiIiIiIiIiIrI5FqWIiIiIiIiIiMjmWJQiIiIiIiIiIiKbY1GKiIiIiIiIiIhsjkUpIiIiIiIiIiKyORaliIiIiIiIiIjI5liUIiIiIiIiIiIim2NRioiIiIiIiIiIbI5FKSIiIiIiIiIisjkWpYiIiIiIiIiIyOZYlCIiIiIiIiIiIptjUYqIiIiIiIiIiGyORSkiIiIiIiIiIrI5FqWIiIiIiIiIiMjmWJQiIiIiIiIiIiKbY1GKiIiIiIiIiIhsjkUpIiIiIiIiIiKyORaliIiIiIiIiIjI5liUIiIiIiIiIiIim2NRioiIiIiIiIiIbI5FKSIiIiIiIiIisjkWpcguRUZGQqfTITIyUnUoRERpMEcRkVYxPxGRVjE/OScWpQiLFy+GTqfDvn37TMs2bNiAqVOnqgvqP59++ikWL16sOgyLfP/99+jXrx/Kli0LnU6HZs2aqQ6JyCEwR1nH2LFjUatWLRQsWBBeXl6oWLEipk6diri4ONWhEdkt5ifrCAkJgU6nS/Pz4osvqg6NyG4xP+WcsUiW3s+7776rOkSH4Ko6ANKmDRs2YMGCBcqT1qefforChQtj4MCBqZY3adIEjx49gru7u5rAzFi4cCH279+PunXr4tatW6rDIXJozFFZt3fvXoSGhmLQoEHw9PTEgQMHMHPmTPz555/Ytm0bXFx4nYrIGpifsqdGjRoYP358qmXlypVTFA2RY2J+ypqKFSvi22+/TbP822+/xe+//442bdooiMrxsChFNiOEwOPHj5EnT54cr8vFxQWenp5WiMp6vv32WwQEBMDFxQVVqlRRHQ4RZZGj56jt27enWVa6dGm8+uqr2LNnDxo0aKAgKiKyhKPnJwAICAhAv379VIdBRFnkyPnJz8/PbF6aNm0aypYti7p16yqIyvHwsiilMXDgQCxYsAAAUjVPNEpOTsa8efNQuXJleHp6ws/PD8OHD8edO3dSrSckJAQdO3bEb7/9hjp16iBPnjz47LPPAADffPMNWrRogaJFi8LDwwOVKlXCwoUL0zz/yJEj2Lp1qykGY5e49Pobr169GrVr10aePHlQuHBh9OvXD9HR0Wm2z9vbG9HR0ejatSu8vb1RpEgRvPrqqzAYDKkeGxMTg+PHjyMxMTHT9y0oKIgtDYhsgDnqiazkKHNCQkIAAHfv3s3W84koNeanJ7KTnxISEvDgwQOLH09ElmN+eiInx0979uzB6dOn0bdv3yw/l8xjSylKY/jw4bhy5Qr++OMPs80Vhw8fjsWLF2PQoEEYNWoUzp07h08++QQHDhzAjh074ObmZnrsiRMn0Lt3bwwfPhxDhw5F+fLlAciubpUrV0bnzp3h6uqKn376CSNGjEBycjJefvllAMC8efMwcuRIeHt744033gAgq9XpMcZUt25dzJgxA9euXcP8+fOxY8cOHDhwAPnz5zc91mAwoG3btqhfvz7mzJmDP//8Ex988AFKly6Nl156yfS4119/HUuWLMG5c+dMJ29EpBZzVPZzVFJSEu7evYuEhAQcPnwYb775Jnx8fFCvXr1Mn0tEmWN+yn5+2rx5M7y8vGAwGFCiRAmMHTsWo0ePzvR5RGQZ5ifrnOMtW7YMAFiUsiZBTu+bb74RAMTevXtNy15++WVh7uMRFRUlAIhly5alWr5x48Y0y0uUKCEAiI0bN6ZZz8OHD9Msa9u2rShVqlSqZZUrVxZNmzZN89gtW7YIAGLLli1CCCESEhJE0aJFRZUqVcSjR49Mj/v5558FADF58mTTsgEDBggA4u233061zpo1a4ratWunWmZ87Llz59LEkJH04iairGOOkqyRo3bu3CkAmH7Kly9vipGIso75ScppfurUqZOYNWuW+OGHH8RXX30lQkNDBQAxceLETJ9LROYxP0nWPMdLSkoSfn5+ol69ell6HmWMfY0oS1avXo18+fKhdevWuHnzpumndu3a8Pb2xpYtW1I9vmTJkmjbtm2a9aTsc3zv3j3cvHkTTZs2xdmzZ3Hv3r0sx7Vv3z5cv34dI0aMSNUP+dlnn0WFChXwyy+/pHnO0zO6hIaG4uzZs6mWLV68GEIItpIishPMURmrVKkS/vjjD/zwww+YOHEi8ubNy9n3iGyE+Sl969evx8SJE9GlSxcMHjwYW7duRdu2bTF37lxcvnw5y9tERFnD/GSZTZs24dq1a2wlZWXsvkdZcurUKdy7dw9FixY1e//169dT/V2yZEmzj9uxYwemTJmCnTt34uHDh6nuu3fvHvLly5eluC5cuAAApqajKVWoUCHNAL+enp4oUqRIqmUFChRI02eaiOwLc1TGfH190apVKwBAly5dsHz5cnTp0gV///03qlevnqN1E1HGmJ8sp9PpMHbsWPz222+IjIzkAOhEuYz5yTLLli2DXq9Hz549rbI+kliUoixJTk5G0aJFTX1pn/Z0EjA3C8OZM2fQsmVLVKhQAXPnzkVQUBDc3d2xYcMGfPjhh0hOTs6V2FPS6/W5/hpEZHvMUVkTFhaG559/HitXrmRRiiiXMT9lTVBQEADg9u3bNnk9ImfG/JS5R48eYd26dWjVqlWGY2BR1rEoRWalnIkhpdKlS+PPP//EM888k+1pP3/66SfEx8dj/fr1CA4ONi1/ulloRnE8rUSJEgDkoHstWrRIdd+JEydM9xORY2COso74+HgkJydnq0k9EZnH/GQdxu42T58ME1H2MT9l3/r163H//n123csFHFOKzMqbNy+AtNOE9+jRAwaDAe+8806a5xhndcqMsYIthDAtu3fvHr755huzcViyzjp16qBo0aJYtGgR4uPjTct//fVXHDt2DM8++2ym6zAnp9OtE1HuYI6SLM1Rd+/eNfuYL7/80hQfEVkH85NkaX66fft2munaExMTMXPmTLi7u6N58+bZen0iSov5ScrOOd7y5cvh5eWFbt26Zes1KX1sKUVm1a5dGwAwatQotG3bFnq9Hr169ULTpk0xfPhwzJgxAwcPHkSbNm3g5uaGU6dOYfXq1Zg/fz7Cw8MzXHebNm3g7u6OTp06Yfjw4YiLi8MXX3yBokWLIiYmJk0cCxcuxPTp01GmTBkULVo0TZUcANzc3DBr1iwMGjQITZs2Re/evU3ThYaEhGDs2LHZeh+yMl3otm3bsG3bNgDAjRs38ODBA0yfPh0A0KRJEzRp0iRbMRBRWsxRkqU5KjIyEqNGjUJ4eDjKli2LhIQEREVFISIiAnXq1OF4LURWxPwkWZqf1q9fj+nTpyM8PBwlS5bE7du3sXz5chw+fBjvvfceihUrlq3XJ6K0mJ+krJzjAbJ4/uuvv6J79+7w9vbO1mtSBtRN/EdaYW660KSkJDFy5EhRpEgRodPp0kwd+vnnn4vatWuLPHnyCB8fH1G1alUxceJEceXKFdNjSpQoIZ599lmzr7l+/XpRrVo14enpKUJCQsSsWbPE119/nWZqzqtXr4pnn31W+Pj4CACmqUOfni7U6Pvvvxc1a9YUHh4eomDBgqJv377i8uXLqR4zYMAAkTdv3jQxTZkyJc12ZmW6UOPzzf1MmTIl0+cTkXnMUVJOctTp06dF//79RalSpUSePHmEp6enqFy5spgyZYqIi4vL8LlElD7mJykn+Wnfvn2iU6dOIiAgQLi7uwtvb2/RuHFjsWrVqgyfR0QZY36ScnqOJ4QQixYtEgDE+vXrLXo8ZY1OiBTt64iIiIiIiIiIiGyAY0oREREREREREZHNsShFREREREREREQ2x6IUERERERERERHZHItSRERERERERERkcyxKERERERERERGRzbEoRURERERERERENueqOgBbSE5OxpUrV+Dj4wOdTqc6HCJ6ihAC9+/fR/HixeHi4ly1cuYnIm1jfmJ+ItIyZ81RzE9E2mdpfnKKotSVK1cQFBSkOgwiysSlS5cQGBioOgybYn4isg/MT0SkZc6Wo5ifiOxHZvnJKYpSPj4+AOSb4evrm6N1JSYm4vfff0ebNm3g5uZmjfBszt63wd7jB7gNT4uNjUVQUJDpu+pMmJ9S4zaoZ+/xA8xP1mLN/ATY/2fL3uMHuA1aYO34nTVHMT+lZe/bYO/xA9yGp1man5yiKGVs0unr62uVkz4vLy/4+vra9QfNnrfB3uMHuA3pccbm18xPqXEb1LP3+AHmJ2uxZn4C7P+zZe/xA9wGLcit+J0tRzE/pWXv22Dv8QPchvRklp+cp+MxERERERERERFphlO0lCIyy2AAoqKAmBjA3x8IDQX0etVRERExPxERERGRU2BRipxTRAQwejRw+fKTZYGBwPz5QFiYuriIiJifiEiLWCwnIqJcwO575HwiIoDw8NQnfAAQHS2XR0SoiYuIiPmJiLQoIgIICQGaNwf69JG3ISHMSUSknsEAREYCK1bIW4NBdUSURSxKkXMxGGQLBCHS3mdcNmYMkxkR2R7zExFpEYvlRKRVLJg7BBalyLlERaU9qEpJCODSJfk4IiJbYn4iIq1hsZyItIoFc4fBohQ5l5gY6z6OiMhamJ+ISGtYLCciLWLB3KGwKEXOxd/fuo8jIrIW5ici0hoWy4lIi1gwdygsSpFzCQ2Vs1jpdObv1+mAoCD5OCIiW2J+IiKtYbGciLSIBXOHwqIUORe9Xk6rDqQ98TP+PW8epzgmIttjfiIirWGxnIi0iAVzh8KiFDmfsDBgzRogICD18sBAuTwsTE1cRETMT0SkJSyWE5EWsWDuUFxVB0CkRFgY0KWL7GccEyOr6KGhPKgiIvWYn4hIS4zF8tGjU4/hEhgoC1IslhORrRkL5uHhsgCVcsBzFsztTq62lNq2bRs6deqE4sWLQ6fT4Ycffkh1vxACkydPhr+/P/LkyYNWrVrh1KlTqR5z+/Zt9O3bF76+vsifPz+GDBmCuLi43AybnIVeDzRrBvTuLW+ZtJwK8xNpGvOT02OOIk0JCwPOnwe2bAGWL5e3586xIOWkmJ9IE9i63GHkalHqwYMHqF69OhYsWGD2/tmzZ+Ojjz7CokWLsHv3buTNmxdt27bF48ePTY/p27cvjhw5gj/++AM///wztm3bhmHDhuVm2OTgDMkGRJ6PxIp/VyDyfCQMyZwq1BkxP5FWMUcRwBxFGqTXw9AkFJEN/bGiUAwiL0UxPzkp5ifSjBQF8+TvvsPBFR9i5foZiKxVkPnJjuRq97327dujffv2Zu8TQmDevHl488030aVLFwDA0qVL4efnhx9++AG9evXCsWPHsHHjRuzduxd16tQBAHz88cfo0KED5syZg+LFi+dm+OSAIo5FYPTG0bgc+6T5eaBvIOa3m4+wiqymOxPmJ9Ii5igyYo4irWF+IiPmJ9IUvR4Rfrcx+sBrMj+dkIuZn+yHsjGlzp07h6tXr6JVq1amZfny5UP9+vWxc+dO9OrVCzt37kT+/PlNyQoAWrVqBRcXF+zevRvdunUzu+74+HjEx8eb/o6NjQUAJCYmIjExMUdxG5+f0/WopPVtSE4GbtwArl6Vw6ncuAE8fgy88ILsIrxiRSLy5QPmz0+Ei4vs1dKyJVC+PHDtmvzx8wMKF07d42Xd8XXoFdELAiLV60XHRiN8VThWhq1EtwrmP1PWpvV9YAlrboPW3gfmJ3XsYRvu3JH5yfjz4AHQoQNQvDiwfTuwe3ciKlYEPv5Y5qhKlYDmzYH4eODQITlEVNGigLt76vVqJUfZwz7IjCPnJyD3clRu5ifjelLe2ht7iP/hQ+DKFXksdPUqcPcuUL06UKcOcOECsHZtIipUkPlJpwMKFAD69pXPPXAA8PWVOcrLK/V6tZKfAPvYDxmxdvxaex+Yn9TR+jYkJMjcFBMjb2/eBIoUATp2BAwG4KOPElG+vLzV6QA3N5mffHyAU6fkY4oVA/LlSz2+OfOTdak4hlJWlLp69SoAwM/PL9VyPz8/031Xr15F0aJFU93v6uqKggULmh5jzowZMzBt2rQ0y3///Xd4Pf1fNpv++OMPq6xHJXvZhkKF5O2vv8rbfPnkbdmyT+I/c0b+GKUchxMADMKAEUdHpElWAEzLXv7pZbiecYVeZ7uxW+xlH2TEGtvw8OFDK0RiPcxP6tnLNuTLJ38OHpQ/AFCxorwtXVpuw6NHwIYNT55z40ba9WgxR9nLPsiII+YnIPdylC3yE2D/ny17iT9PHvlz/fqTHFShgrw15icgdX6KiQFOnEi9Hi3mJ8B+9kN6rBW/1nIU85N69rANer1sRAA8yUHly8vbMmWexB8Vlfp5Z8+m/pv5KffY8hjKIWffe/311zFu3DjT37GxsQgKCkKbNm3g6+ubo3UnJibijz/+QOvWreHm5pbTUJWw5TYkJ8tikfGErWNHoGFD4PPPgQkTZLXb+BMaCrzyiqyib9okl/n7yxZPrik+qRnFf/euTFYpWzEEBgIlmm7FrX9uZRjrzcSb8K7ki+Ylm1r9fXgaP0epGa92OQPmp4zZehuuXpWtAw4elC2dBgwAjh0DGjSQxabAQHnQFBgIfPyxfM62bYCHh8xPfn7yd0u2ISFBXumLiXmSnx4+BCZPBrZesCxH+VbxRdMSuZuj+DlKjfnJOvkJsP/Plq3jj42VrSsPHJAtCqZNkxNMlSoli90BAU/y0FtvASEhwOHD8ljIz0/e5+1t+TacPJm6FUNMDDBqFHAiXjv5CeDn6GnOkqOYnzJny21ISACOHHlyjjdtGpA/P9C/P/DzzzI/Gc/lnn8eaN1a5pSjR5/krYIFU7d4yij+mBjZ2jNljmrZEjAEMT9Zm4pjKGVFqWLFigEArl27Bn9/f9Pya9euoUaNGqbHXL9+PdXzkpKScPv2bdPzzfHw8IDH02cJANzc3Kz24bDmulTJjW1ISpKVb50OePVVWXy6f1/eFxIC1Kz5pClmr15PWkGljgvo3Dl78RcpIn+etuJfM00TzOja7wbq53VDgwaygNagQe5OesXP0ZN1aAnzk3q5sQ1CyBzl5gZ8/z0wZowsDAGy+D1ggLyvcmXg+HEgKCj1wZJRy5aWvd7T2+DmBtSoIX+eduORZTlq2LgbaBvghvbtgVat0naxsSZ+jp6sQ2tyK0fZIj/lxvpsLbfiT0yUeeLUKeDZZ+UtIL/ndevK4xEXF+Cvv+QJn7njk5o1LXstc9tQubL8edp2C4+hnh9xAy2KuKFlSxn/Uw1lrI6foyfr0RLmJ/VyYxuM+UkIoEkTYPduuUyvl8MU3Lghz8HmzgW+/lq20nxacLD8yU786T3X0nO85wbfQGh+N4SGyvNMY6us3MLP0ZN1WCJXZ9/LSMmSJVGsWDFs2rTJtCw2Nha7d+9Gw4YNAQANGzbE3bt3sX//ftNjNm/ejOTkZNSvX9/mMZN59+/LWTf795cV8X375PJatYD//Q/4/Xd5he/cOTm7OSAr6eYKUrnF38c/8wcB6NvFH4UKAV99BTRuDPzzj1x+8iTAWWqdB/OT40hKAiIjgXHjgLJlgXnz5PLSpYHBg4G1a+WkLdevA3PmyPv0enngY64glVsszVHlAvyxaRPQpQuwaJFcZmx5Rc6DOcoxCAH8+y/w7rtA/fqAcRid4sWBdu2AxYtly6fYWJnHXP47ag8Ozt0LZk+zND81qOKP06flGKBDh8pljx/LlhEibc8aclDMT44jOhr47DNZZA4Kkq2jdDqgTRvgww+BnTvleeChQ7IwBchWUOYKUrnF0vzUIdQfjx8DU6bIXjtJSXL5oUNPfid1crWlVFxcHE6fPm36+9y5czh48CAKFiyI4OBgjBkzBtOnT0fZsmVRsmRJvPXWWyhevDi6du0KAKhYsSLatWuHoUOHYtGiRUhMTMQrr7yCXr16cVaGrDIYZKfcmBjoihSRf1vB8OHyoCkhAahSRf5tbKnUp49VXsIqQoNDEegbiOjYaLN9jnXQIdA3EItGh0LvIt+effueXHHs108mrZYtgU6d5E9AgI03gqyK+cnxffklMHGiHJjc319+b595Rt5Xp4780QpLc9Qvb8kcdfKkHKAYkAeG778P1Ksnr/516gRUrWrbohpZH3OUY9u3D3juOVkU9/YG2rYFuneX9+XNC3z0kdLwUrE0P635Lz9dvw7cuyfv27xZntCWLi1zU+fO8qKfnTcgcHrMT47t0SPZGmrfPlkADw2Vx1OJiXKSlrfeUh3hE5bmp6X/neM9fCjHzXN1lXmqdm05wcOzz8r81KaN/JtsK1dbSu3btw81a9ZEzf/O7MeNG4eaNWti8uTJAICJEydi5MiRGDZsGOrWrYu4uDhs3LgRnp6epnUsW7YMFSpUQMuWLdGhQwc0btwYn3/+eW6G7XgiImTfuebNgT594Nq6NdoMGwbdunVZWk1cnOyOV7euPIgCZGuo99+X4zgZr/aFhFh7A3JO76LH/HbzAcjklJLx73nt5kHvIi896vXyqqXxpG75cmDGDJnIXnlFji/z9MB7ZF+YnzTEYJDNAFasgG7r1mwVzQ0GOYZBx47y+wrIllGvvALs3SsnP/jsM6BRI+uGbi1ZzVHlyj25ADBpErB0qWw9MXOmnGnr3XdtFzvlDuYox/L337L10Jgx8u9SpeSsnRs3ytbka9Y8aU2uNVnNT0WLyvwLAC1aAL/8Irsbr1ol/27f3naxU+5gfnIsly/LFkRNm8pWjXnyyO/qd9/JIvOWLbLFed68qiNNK6v5ycvrSaMDHx9gxw7gpZfkuFjPPSdbqj56ZLPwyUg4gXv37gkA4t69ezleV0JCgvjhhx9EQkKCFSKzgbVrhdDphJA5xvSTDIhknU7en4mjR4UYOVIIX18hXFyE6NRJiOPHbRB7OnKyD9YeXSsC5wYKTIXpJ2hukFh7NPP3wejWLSG++06Ix4/l3/37CzFmjBAnTlgeh919jsyw5jZY8ztqb5w6Pwkhc1BgYKr89LBQIZH4/fcWPf36dSFmzBCiRAn59Nq1hdiwIXdDzozKHPX4sRAbNwpx8qT8++OPhejRQ4jISCGSk3M/fq1gfrIOa2+7XX62kpKE2LJFiOXLReIff4gf1q61OP5Hj4RYulSIBg1kfgoMFOKDD3I33MyozE8GgxB79wqxdav8e/9+IZ55Rohly54cU+X2NmiBteN31hzF/JRWVrYhOVmIP/8UIixMCL1eCG9vIYYNE+LhQxsEmg7V53hnzwqxZo38/fFjmbvff1+Imzctj8PZPkeZsfR76pCz79F/DAZg9GizHfl1gGzgOGaMHJzkqcEJEhPl09zdZQuhjRtli4Nhw4ASJWwRfO4IqxiGLuW7IOpiFGLux8Dfxx+hwaGm6rklChaUA7UD8j0KDJQtyObNk1cCR4yQTdRd+e0iylhEBBAeniZHed66JWdCcHUFwsLSPE0IeRXLywv46Sdg6lTZwmDECNmS057lNEd5eMhuQEaFCsmux82ayfEeRoyQs+CwaTqRBSIi5HHU5csA5JgXbQoVgu7TT4EePdJ92sOHMj9dvgwMHCi7/q9bJ1ty2vOxQU7zk4tL6m7TyckyZ/XtKw9HX3hBDgNhz8eZRFpnzE/JycCQIU+6C/frZ9/HBtY4xytZUv4Asmtf2bLAG28Ab74pD0tHjJBDJZD12fG/RspUVJTpQMocnRDApUvycc2aAQCuXJEFls8/B957Tx5MffAB8MUXaac9t1d6Fz2ahTSzyrp0OtlN5q23ZNP7Tz+VJ8fR0fJk8PFjIEVLZSIyyrRoLiDGjIYuRdH84UPZlPzTT+UMdosXy+9bly62nTght1kzR/XuLQ+ktmyR79vo0fKAq0MH5ieiDGVYNO8Jg4sL9OHhpuXJycCvv8rv2YkT8qdMGeDiRccag9Ka+alOHWDTJuDYMTlxw4IFcsDh2bOB+Hh5YZRj4xFl4r9xg5Ojo3EIVxEVfxl5L+RF81LNUxVkDh6U37GVK+XvpUvLrmvFizvO98ya+aloUTk0wgcfyNkEFy2Skzbs2SP/LcTH8xjKmpTNvkc2EBNj0cP27PsRt28DEybIMQ7mzJEnecbJL4oUcZyCVG7x9JRXGP76S07hXKiQPIEuXRp4/XXg7l3VERJpTKZFc0B36TK2ffcuEhOBhQvl9+mll+RV9H795OPy5HGsglRu0Onk2BBr1gAXLjxpSdWtG9Cz55Np54noP5kVzQVwdWgvRBxeDSGA336TBZaOHeVMmP/7nyxSAY5VkMotFSsC8+fLC3qvvSaXffihPA7dvFltbESalmLcYJd+/VC736sYPXYePn2jNULmhyDiWASOH5eTKNSsKXu+TJokZ0EHZH5ylIJUbilSRL5np0/LFq8AsHu3vOjw5Zecuc9aWJRyZP6WTZE56fA8TF0VgUWL5MFAdLQ8AaxYMZfjc1BBQfJWCGDQINkktlQpOSA8B84j+o+FRfNFP03BF9sjMGYM0Lq1LKD8+KPsKktZFxDwpLd2jx6ykF6pkiz2WbhLiBxfJkVzFwABdw34eE4PrDkSgZEjZYF861Y5W9XgwZxdLju8veUQCYCcoU+nk10f27aVA8UTUQr/teYUT+WqgFhgzSqg3q7LCF8Vjpc/icD+/bJ1+blzsisaL+ZlnV7/5CKDv7+ckXDoUDn7/Nq1Zq9hUBawKOXIQkOBwECIdErgyQAu+gJRJYB1j8bg5CkDpk4F8uWzaZQOK29eYPp0WVnv1UteOdXqzDpENmdh0TzGG5h5cAzOnjNg6VJZ4CXrGDQIOHlSjhv4/feyS2R8vOqoiDTAwgqtfxww/o8x2BJpwPbtcgp1tjqwjsaNgV275Hn3xYty2vYDB1RHRaQR/7XmFELg6ZRjPLn/cCPgkixwouQYHD1mwIAB9j2mnZaUKAGsWCGL5SEhsqf3/Pmqo7JvLEo5Mr3+v2+IQPJTdxn/HtMOMLgAl2Mv4cTjKBsH6Bz8/eUYE8eOAdOmyWXGK36sqpPTMhXNzd9tLJpvKwFcir2EUwnMT7khTx7g1VeBs2eB5ctlV+3YWHnf48dqYyNSxsKi+RXvJ/mJxSjr0+lkN+N//wV++EEWzgHZmp/Iqf3XmjO9tOMCIDgWaHwBiI67hD3XeAyVG4xdIjdvBvr3l8uMXfwoa1iUcnRhYdj+wRhEPzWbwmVfILwHsK7Sk2Ux99l3IzeVKQNUry5/X79e3rZsKQcbJHI6pqI5MiyaJ//3X4r5KXflzy/zESAHPgXkwdbq1cpCIlLHwqJ51H+zxDE/5S5XVznWqU4nh5iYOVMunzULSEhQGxuREllozQkwR+W25s1l12MhgE8+kcteeAG4fl1tXPaERSkn8OjZLggZAzQbAPTuLm9LjkldkAIAfx/LrgxSzk2dKm8fP5ZT2E+dygMrckJhYTi8YJpFRXPmJ9tp317e1qolx5167jkeWJGTyWLRnPnJdgICgEOH5O+zZsnp2Xlxj5xOFoZAAJijbEWnkxNfAHJm0cqVeXHPUixKObj9+4Fx3UPh4xKIbSV1WFkV2FryyYEUAOigQ5BvEEKDQ9UF6qQiI+XsfJ9/Dty7pzoaItu6ehV46/c3UP6lADRPp2jO/KTOd9/JqaMjI4EjR1RHQ2Rb8c+GYXnYakR761MtT1k0Z35Swzj26ZYtcpbDH39UGw+RrYnGoXhQMBDJ6XTgM7bm3F4CzFE2Zhy3a/duOc7gp59yuBZLsCjloOLj5ewK9esD7m56TK4nr/jpnkpexr/ntZsHvYs+zXood7m7A2+/LWcUK1JEtkaYMYOtpsixCSEHiKxcGdj5lx6vlP8IW0vq8H1VXaqiOfOTWjod0LMncP68bJqenAy88w5w44bqyIhy1/79QJ06wKD14Zg0fgWaDwD6PFU0Z35Sr3p1Odvh//4n//7yS7aaIsd39SoQ9pwez9+eDx2Ap+sdxtacY9sByS465ihFihYF1qwBfv5ZHk9t3cpWUxlhUcoB3bwpD6ZmzwamTJGV2nHtw7CmxxoE+AakemygbyDW9FiDsIphiqIlQM7UB8iE9dZbbI5OjksIoG9foE8foE0b2QJn9iDmJy0z5qczZ2SPpkqVeGBFjmvBAnlBz81NFjyWT30OIyetRdQzgamK5sxP2uDuLvdVUpIcAL1uXTmpDC/ukSP66y95Qe+vv4B+a8OgW7sGusDAVI8xtubc2yCIOUoxne7JMVREhBwSoUcPXtwzhxNDOhAh5Ie/UCGgbVtg2TKgWrUn94dVDEOX8l2w5ewW/Lr9V7Rv3B7NSzVn9VxDnnsOKF0aGDhQHli9+ab80XMXkQMw5qgmTeT0uWEpjpOYn7SvbFlZRHzppSdjTS1aJAf3JLJ3xvxUu7a8oPfaa7LYATA/2QNXV2DnTtma85135AxY334LVK2qOjKinDPmp4oVZQvmt98GChcGgDA5C0BUFJKjo3EAV7Ei/jJGNHmWOUpj5s0DGjYEXnlFXtz77LPUx8HOji2lHMStW7IQ9dNPMmnNmZO6IGWkd9GjaYmmaFKgCZqWaMpkpUG1asmrs6+9JmeY+fdf1RER5YzBALz6KjBpkvz7xRfN/yNmftI+Pz9g7VrZ/XLTJjnmFJG9W7lSttyMjwcaNJAtlo0FKSPmJ+1zd5cFqT175P+dd95RHRFRzv3zj+xBcf48UKCAHKNIFqT+o9cDzZrBpW9fVOsxCqGFmjFHaZBOB/TqJS/uhYYCY8cCDx+qjko7WJRyAEeOyKbmf/8N+PiojoaswXhgde4cUKOGbJZ+/rzqqIiy7u5doGNH4MMP5axJZP9SHli99JJcduaM2piIsiM5GXjjDaB3b1lw5WC0jqFWLTl0xZdfyr/PnpX7msjerF0LNGoki6wuPGt3CMaLe7t3A15ecjzh+/dVR6UeP9527qefZFPAPHmAvXuBZs1UR0TWVKyYvJ0zRxanjNOMEtmDEydkwXzXLmDjRmD0aNURkTUVKyYLVH/9BZQvL1t28qSe7EVsLNC1q5xcZPZs2dXL01N1VGQtXl6Ar6/cz/Xryy7HDx6ojorIMsnJcmy08HB5YW/7diA4WHVUZC063ZNzvP795bm8s1/cY1HKjiUlyS5eLVvKk4KSJVVHRLnlpZeAZ54BOnQA5s7liR/Zh7lzZavyPXuA1q1VR0O5pUEDOfvV66/LQezZHJ3swS+/yMlFfv4ZmDBBniSQ4/H1Bb74Ql4YeeYZ4MIF1RERZe7cOeD994Hp02X3Yi8v1RFRbvnwQ9l1vF49OSyCs2JRyg49fAhER8tBHbdskU0A2W3PseXLB6xfLw+cx4+XA6EnJqqOiigtIYDTp+Xv8+bJgWfLllUaEuUyFxc56OqqVcAPP8ixEmJiVEdFZJ4xP/XuLVtzduigNh7KfV27yv9FsbFyduodO1RHRGTepUvA48dy0qPTp2X3YhbMHVvFivLibe3acnzoTz9VHZEaLErZmcuX5cxV3bvLk7+iRdnH2Fno9bJ7zHffyS4Grpw7kzQmPl4WTGvWlH3k8+SRBVVyDs89J0/2/PyeTIFMpCWffAJUqAD8+qv829h9ghxf1aryxK9hQ17IJW2KipLjoU2ZIv9mfnIeBQoAGzYAo0Y5bzdyljPsyNmzQOPG8mRv0SJWzp1V375yGlGdDvjzT+DiRdUREckWnF26AN9/L/NT0aKqIyIVataUB1a+vrL7wZYtqiMikhfxpkwBRo6UP+xO7JwKF5atzqtVk61RVqxQHRGRtGGDzEtVqgATJ6qOhlRwdZXDXgweLP9evlxe7HUWLErZiZMnZQspd3d5JbpGDdURkWpJSbKi3qSJLFgSqRIXJwfijIqSB1Z9+6qOiLRg5kygfXv5mSBSRQg5/ubbb8vP5IcfsqUxAevWAX36yGIlx+kklX74QXYxbddOjn1WqJDqiEi1s2eBIUPkxV5nGaeTRSk7ceQIULCgHJQzKEh1NKQFrq5yNj53d1mYOnFCdUTkrGJiZIu9334DWrRQHQ1pxUcfyYPsrl3lCSCRCvHxcuaqefOASZNUR0Na0bu3LFK+/bb8XLAwRaps2yb/T65eDXh4qI6GtKBUKTkZR1QU8Oyz8uKvo2NRSuOuXZP/KLt1A/7+G/D3Vx0RaUlQkCxU+voCTZvKFnVEtnL/vryCU7YscPy47F5MZOThIQ+yu3aV401FRKiOiJyJEPIYytNT/p8cPVp1RKQ1kybJYuX778tJZFiYIlu6dk3efvCB7Krl5qY2HtKWFi3kxd79+2Wr8wcPVEeUu1iU0rCTJ4Hq1YH58+XfbG5O5vj7A5GRciwXDnpPtvLggZy1qk8f+TfzE5nj5iYPtvv14wE32Y4QsshQu7YsnjM/UXpGj5YD4Ht5qY6EnElEBFCyJLB7txwjljmKzGncWBamihRx/LGk+RXQqLNnZYW0YEGOz0KZK1r0yWxCsbHyx7+4AVEXoxBzPwb+Pv4IDQ6F3kWvNlByCI8eAZ07AwcPAn/8oToa0jpXV2DxYvm7ELJVXbnyzE+Ue958U44d9cknnGmNMvfyy09+P3oUqFQJMCQzR1Hu+OUXoFcvICwMqFNHdTSkdQ0bPmlpfvq07CXj6uZ4+YlFKQ26fBlo2VJOp75pk6yOEllq6BADEk+9i2KV5+Oo221ElQCSXYBA30DMbzcfYRXDVIdIdiwxEejeHdi5Uw7I2aCB6ojInixcCIz/bDXa1h+BPLdvIsYbiCoBFM/P/ETW8e67wHvvAXPmpC42EGXm33+BWtUNePuFdxH9aD4O63kMRda1aZM8hnr2WeDbbwG9fdcRyIYePwZaNjOgfeV34VpkPg67OlZ+YlFKg2bNAgwGOfAdx5CiLImIwFdbh8H7xi3gH7noki8wuh3wQ6VohK8Kx5oea+w6aZFa69cDf/4pr/Q1aaI6GrI31R5PxMnz7yPo0JNll3yBMe0uIzyW+Yly5tIlYPp0YNo02X2PKCuqnopAjPcwFP7ilmkZj6HIWpKTgXHjgGbNgJUr2aWdssZzQwQOPRqGfL87Zn7iCDQaNHeuLEhxlj3KkogIiPBweN24lWpxQCywZhXQ9agcwXPMxjEwJBtUREgOoHt3ORto69aqIyF7Y1izBo3Gv4+A2NTLA2KB1auAbkcF8xPlSFCQbO3y1luqIyG7898xVMH7PIai3OHiAvz+O7BqFWfZoyz6Lz/53Hbc/MSilIZ88okc8M7NDQgJUR0N2RWDQY7WKUSaL7Xx73kbAV2ywKXYS4i6GGXrCMnORUYCX34pfy9bVmkoZI8MBiSOHAEg7YGH8e8PNwLRd5mfKOuuXgVefx1ISADKlHH8AWHJyngMRbnIYJAzPV69Cvj5yRmziSzmJPmJRSmNWL8eGDlSjrBPlGVRUcDly0jvONwFQHAsEHpB/h1zP8ZWkZEDOHcOCA+Xzc2Tk1VHQ3YpKgqeV2+ke9CRMkcxP1FWxMfLAYOXLAFu31YdDdklHkNRLpo0CfjgAzmIPlGWOUl+4phSGnDkiJxhLyxMzhhDlGUxliUg/7j/bn04WBlZJi4O6NIFyJ8f+P572fycKMuykKOYn8hSQgAvvQT8/TewdStQrJjqiMgu8RiKcsnSpbIgNX++nFWdKMucJD+xKKXYrVtyavVSpeRVPp7wUbZYOCL+VW8gyDcIocGhuRwQOYLkZKB/f9lSatcuoFAh1RGR3bIwRxn8ijA/kcU++gj45ht54le/vupoyG7xGIpywe7dwLBhwODBsjcMUbY4SX5iCUSx6GjA2xv48Ud5S5QtoaFAYGC6A2kkA7joC2wLBua2mQe9C+egpczdvw/cuAEsXw5Urqw6GrJr/+UokU77c2OOat97AfMTWezUKeDVV4Hnn1cdCdk1S4+hSgDz2vEYiixz5gzQqBHw6acc545ywEnyE4tSilWrBhw4wIHNKYf0etk2GEiTtIxDAE3pWAhi7VocXWufU4WS7eXLJ7vEdOqkOhKye//lKB10aQpTxhz1RrEJ+G7Kcxy3jCz2ySfArFmqoyC7Z8Ex1ISWheD921qEFuYxFFmmTx/gzz850x7lkAX56X/tCiF59VoUuGq/+YlFKUX27gXatgVu3mSXPbKSsDBgzRogICDV4kfFCuHowmn48ttreCMsDLt2cbBqyti9e0CzZsD+/cxPZEX/5ShdQGCqxQn+RSBWr8aABbNx4YLFwyeQkxIC6NcP+PZb+TdzFFlFJsdQHy64hoLXwnDwoJrwyH7MmweMGiVzFfMTWUUm+embZdfQzE+e49krjimlwOPHwMCBQJ48cvBgIqsJC5OjUkdFyTM7f3/kDQ1FFb1syjlliiy4sxkxZWT8eDlwcJEiqiMhh2MmR3mGhgJ6PVoBOHYMcHNTHSRp2bJl8ic8XHUk5HAyOYY6eZL5iTJ28iTw+uvA8OE81iYryyQ//f67fecnFqUUmDZNjoPw99+AK/cAWZteL5u5mGH8vP35J3DiBPDyy7YLi+zDxo3AV18Bn38OBAerjoYcUgY5ys1NjsOxaJHslsWrzJRSTIxsgdCnD9C1q+poyCFlkp/u3wemTgVee40Xbig1gwEYNEg2ZnnvPdXRkEPKJD8lJ8tu7dWqpfswzeLhno3t3QvMni1brFSpojoaclZbtwJjxoDN0CmVe/eAoUOB1q2BF15QHQ05q3PngDlzZGGKyEgI2frA3V3OukekwsOHcrZsXtSjp330EbBzp5wR1MtLdTTkrNaulcXRuDjVkWQNi1I2dvIk8MwzwKRJqiMhZ/bWW0DFirIbaWKi6mhIK86fl4Obf/klm52TOq1ayeLDxImyQEUEyBYqt2/LYmWhQqqjIWfl5ydbIqxeLX+IjM6dA0aPlpOlEang4gJ8/TVw7ZpszWlPlBelpk6dCp1Ol+qnQoUKpvsfP36Ml19+GYUKFYK3tze6d++Oa9euKYw4Z/r2BSIj2W2P1HJ3l1dyDh9mE+OMOFt+ql4dOHSI3fZIvdmzZeFhyBBOzJAeZ8tPvr7Atm3stkfq9ewJdOsmW0vduKE6Gm1ytvwEyJZSH3ygOgpydqVLAzNnAgsWAFu2qI7GcsqLUgBQuXJlxMTEmH62b99uum/s2LH46aefsHr1amzduhVXrlxBWJj9TXe4dy8wdqwc5JxjZJAW1K4tB2NcvhyIj1cdjXY5Q366dw/o3x+4fJn5ibTB11eObbZ3L3D0qOpotMsZ8pMQchypv/5ifiJt0OmAhQvlZ/Pnn1VHo13OkJ8A+Vn46iv5O3MUacErrwBNmsiuxvZCE+11XF1dUaxYsTTL7927h6+++grLly9HixYtAADffPMNKlasiF27dqFBgwa2DjVbkpOBYcPk2GRsIUVa8tZbsiuph4fqSLTL0fMTAEyeDKxbB0yfrjoSoidatQIuXAAKFlQdiXY5Q3764Qfg44+B/zaDSBP8/OSEMcxP6XOG/BQdLWcsHjZMdSRET7i4yP+d+fKpjsRymiiRnDp1CsWLF4enpycaNmyIGTNmIDg4GPv370diYiJatWplemyFChUQHByMnTt3ppu04uPjEZ+i6UdsbCwAIDExEYk5HEDH+PysrGf1avmP6/ff5VUV1WP4ZGcbtMTe4we0sw06nSxInTwJ3LwJ1K1r+XOtuQ2q34eMOHp+unABWLwYeOMNwN+f+cka7H0btBS/jw9w65ZsJdOuneXPY37SXn4yriflbWaSkuSMxR06AM8+y/xkDdwG6/HxAR49kq2lOne2vJWMteNX/T6kx9HzEwC8+64sTE6erD4/Adr5bmSXvccPaGcbvL3ljJBbt8ouff7+lj9XxTGUTgghcvxqOfDrr78iLi4O5cuXR0xMDKZNm4bo6GgcPnwYP/30EwYNGpQqAQFAvXr10Lx5c8yaNcvsOqdOnYpp06alWb58+XJ4cToEIs15+PAh+vTpg3v37sHX11d1OCbMT0TE/MT8RKRlWsxRzE9EBFien5QXpZ529+5dlChRAnPnzkWePHmylbTMVdKDgoJw8+bNHCfrxMRE/PHHH2jdujXc3NwyffxvvwG9esmrvBUr5uilrSar26A19h4/oL1t+Ocf2ff4k0+A55+37DnW3IbY2FgULlxYUwdU5jhafrp5E6haVXbbGzIkRy9tNVr7bmSHvW+D1uJ/+BCoUQNo1gz4/HPLnsP8pL38BGRtvwghu+yVKCFbc2qB1r4b2cFtsL7evYEjR4B9++REMpmxdvz2kKMcLT8BsnXU2rXA339rZxgMrX03ssre4we0tw0LFgBvvgns3g2UK2fZc1QcQ2mi+15K+fPnR7ly5XD69Gm0bt0aCQkJuHv3LvLnz296zLVr18z2UTby8PCAh5ns4ObmZrUPh6Xr6tgR+PdfoGRJq7ysVVnz/VDB3uMHtLMNderIpueTJ8uDqzx5LH+uNbZBC++BJRwtP/n7AwcPyrExtLYLtPLdyAl73watxJ8vnxz7bsQIOWFItWqWP5f5SXv5KSvr++03IC6O+Sk3cBusZ9o0mZe++UYOMGwpa8WvhfcgM46Yn959Fxg+XHaT0hqtfDeyy97jB7SzDS++CHz4ITBlCrBmTdaea8tjKM3NERAXF4czZ87A398ftWvXhpubGzZt2mS6/8SJE7h48SIaNmyoMErLHDsmBznXYkGK6GnTpwPXrsnWUmSeI+Wn8+eBBw+AwEDtnfARPW3IEKBMGTljKJnnSPnp3j05G2jevLJoTqRllSvLGWzfeUcWUSktR8pPQshZYV1cgJAQ1dEQZczTE3j7bdmqb88e1dGkT3lLqVdffRWdOnVCiRIlcOXKFUyZMgV6vR69e/dGvnz5MGTIEIwbNw4FCxaEr68vRo4ciYYNG2p+ZoabN4H69WVzuYkTVUdDlLkyZYAvvgBCQ1VHoh2Omp+EAPr2lS1QNmxQHQ1R5tzc5LTbnMH2CUfNTwAwezawaBFw6RLAoWLIHkybJodByEpLc0fmyPnpzz+BNm2AXbvkuR6R1vXrB9y+DZQvrzqS9Ck/vLt8+TJ69+6NW7duoUiRImjcuDF27dqFIkWKAAA+/PBDuLi4oHv37oiPj0fbtm3x6aefKo46c++9J28HD1YbB1FWDBwob4WQM/M5O0fNTz/9JMe5++031ZEQWa5lS3lrHAnT2XOUo+anmBjZ1WDMGBakyH4EBwODBsnfeQzluPkpORl47TWgUSOgXj3V0RBZRq+Xwx8A2s1PyotSK1euzPB+T09PLFiwAAsWLLBRRDl3+fKTQcUKF1YdDVHW/P23rKhv2cJuE46Yn5KTgTfekAMIt26tOhqirImNBdq3lycFnTqpjkYtR8xPgBynxdOTrczJPr38sux2Onu26kjUctT8FBEhj5O3bdPmiT1RRpYskWPfbdmivc+v5saUcgSLFslZGMaMUR0JUdaVLAlcuCC78pHj2bwZOHxYDniotX9IRJnx9ZVX+ebPVx0J5Ya7d+UB85gxQIrxj4nsRr58wGefcWwpRzVvHtC8OYe6IPvk7w9s3Qrs2KE6krRYlMoFpUoB//sf4OOjOhKirCtQAOjTRx5UJSWpjoaszdNTdjHgARXZq5dfBjZtAo4fVx0JWVtcHNC1KzB0qOpIiLJn+HD5OV6+XHUkZG1JSUCDBsD48aojIcqeVq2AsmUBLfaUZVEqFwweLLsWENmrl16S3VB//ll1JJRjBgMQGQmsWAFERqJxQwO+/pqtpMh+hYfLrvGLFqmOhHLsqfwU6G/AsmXyai6RPSpRAujYUQ7jYRz/juzUU/nJVWfAnDnAs8+qDowoe1xc5DnemjVyxnUtYVHKCgzJBkSej8SKf1fglTmROHnKoDokohypVUteDVq3TnUklCMRERAhIbKteZ8+QPPmeOwfIgdFILJTHh7ACy8AP/4ox0gjOxURIedTT5Gf7hXxR+KqNaojI8qRESOAo0eBU6dUR0LZZiY/3S7kj/tLmJ/Ivg0cKGcy1trs2yxK5VDEsQiEzA9B8yXN0W9NHxw+3Bxz3iiKbUvelhV2Iju1bp0c24PsVEQERHh3iMuXUy12v3EZIrw7C1Nk1yZNAo4ckVf9yP7o1q0DwsPT5CefOzeg7/kcdn3EUc7JfrVuDVy8CJQrpzoSyo708lP+ezeQdyDzE9m3AgWA06efzBaqFTycy4GIYxEIXxWOy7GX0e0ocH4eELkE+Hz1bTQZOAUPA/x44kd2q1gxecJ3547qSCjLDAY8HDEMQqRN8i6QXQoevjyMhXOyW/nzA15eMj+xi4ydMRigHzcOQgg83YvYmK+Kv/U+Ig6vtnVkRFbh4iK7oMbHAw8eqI6GsoT5iZxA8eLy2OnuXdWRPMGiVDYZkg0YvXE0BAS6HQXWrAICYlM/xvPaLYjwcBamyG598QVQujTw8KHqSCgrxLZt8Lp2K90E7wLA6+otGLZG2jAqIuv69195YLV7t+pIKCsKHT0KXXR0mhM+IxcAwbHAyoUvw5DMwjnZp8REoHx54OOPVUdCWcH8RM6if3+gVy/VUTzBolQ2bb+0HZdjL8MlGZi/US4z1yIBEHJuY7ZIIDvUqpWsoq9cqToSyooTRyIte9xhyx5HpEWVK8uilBZnkaH0eVrY/FZ/7QaiLkblcjREucPNTQ5HtGgRTwHsCfMTOYtWrYDffpNd+bSARalsiomLAQCEXgCCYtN/I3UCwKVLQBQTF9mfkiWB9u2Bzz5THQllRYyPhY/zzt04iHKTiwvw4ovA99+zm7E9eVyggEWPi/EGYu7H5HI0RLlnxAjgwgXg999VR0KWYn4iZ9GjB1CwoOwVowUsSmWTv7ecr9g/zsInxDBxkX3q0wfYsweIjlYdCVnKJbQpLvkC6U1Mlgzgoi+gb9rMhlERWV/v3kBCArBxo+pIyFK3KlXC42KFM81PUSUAfx9/W4ZGZFV16gBlygA//KA6ErIU8xM5izx5gLAw7eQnFqWyqXFQYwT6BuKqpS0N/Jm4yD61by8r6UeOqI6ELNU4pCneDisEIG1hyvj39LBCCC3ZzIZREVlfYCBQvz5w5ozqSMhiej1c5smBdtLLT2PbAQH5gxAaHGrT0IisSacDOneWraXITjA/kRPp3FlOxnDzpupIWJTKNr2LHvPbzUdUCWTYIgE6HRAUBIQycZF9KlgQuH4daNNGdSRkKb2LHu0nfo7negDRvqnvu+wLPNcDaDfxc+hd9GoCJLKiHTuAN99UHQVlhS6sO/bMn5BuflpXSYd57eYxR5Hdmz2bLTntDfMTOYsOHeQoQ4ULq44EcFUdgD0LqxiGbzqtxegDw7Dmp1tIxlNVPt1/czfMmwfombjIfun1wP37gLs74OGhOhqyRFjFMGDqWpQtMQoNrkfDP06OgXC+aiDmdpgv7ydyAHo9kJQkr/bly6c6GrJUg1GzERZdF3fPj4Cf4SZivGWXmID8QVjTbh5zFDkEvV5OvX77NlCokOpoyFINRs3Gm/nrYvtPI+AvmJ/IMRnLE7duqc9PLErlkNvpMKz7uQt2zXoX1efOR95rt5/cGRgoC1JhTFxk365eBUqUkAMKd+2qOhqyVIN8YYif0wXPfBaFKg1i4O/jj9DgUF7dI4dTpw7QrJn8l0v24+iPz+GZ0DA8/0YUYu7HYCpzFDmgsWOByEjg4EHVkVBW3PzrOVz+JwxTfovC1TjmJ3JMERFy0POrV9W2mGJRKofWrwdq1dSj0cTJwPg35Cx7MTFyDKnQULaQIodQrBhQurT8vLMoZT9+/ll25RvfvRkKFlQdDVHuadRI5qcPP3zSSJm07cQJ+fP++3o0C2mmOhyiXNOoETB/vhxbqkQJ1dGQJZKTgZ9+Anr10qN5yWaqwyHKNY0aAQYDsGED0L+/ujg4plQODRgATJny3x96vbxU27u3vGVBihxI586yyGEwqI6ELNWoEfDxx2BBihxe587AuXOckMGeFCggx9tp2VJ1JES5q21bwM1NFjnIPhgMwPTp8jyPyJEVKyYnjFm/Xm0cLErlUNu28mCYyNF17gzcuAHs3q06ErJUlSrASy+pjoIo9zVvDnh7qz+oIssVLQpMmAB4eamOhCh35csnr1UzP9kPNzdg0CCgWjXVkRDlvs6dgd9+A+Lj1cXAolQOLF0q+2ESOYP69YGAAGDfPtWRkCX++gv44AO2bCPn4OEBtGsH/POP6kjIEnfvAq+/LsewIHIGnTsDx48DCQmqIyFLvPMOsH+/6iiIbMPYwObQIXUxsCiVA4sWAWvXqo6CyDb0ejkewqhRqiMhS/z8MzB3LnsRk/NYuVJOxkDa9/ffwMyZclZXImfw0kvyGMrdXXUklJlHj4CpU2WeInIGlSsD9+4Bdeuqi4FFqWxKSpKzaNSurToSItsxTm0shOpIKDP79zM/kXMxFmCZn7Tv4EHA11dOoEHkDPR6OQkD85P2/fuvHOicx1DkLHQ6wMVFbX5iUSqbTp2SlXQmLHIm+/YBhQoBZ86ojoQyIgSLUuR8kpKAUqWAr75SHQll5uBBoFYteRBM5Cz69QMGDlQdBWXm4EHZoq1KFdWRENnOggVAuXLqXp+HA9lkbNJZs6baOIhsKSQEuHOH40pp3aVLwK1bLEqRc3F1lYNmMz9p399/Mz+R88mfn5PF2IMDB4CqVdnVkpyLnx9w+rS6sR5ZlMqmEiWA8eNl83MiZ1G4MBAczMEftU6nA0aMUNs3nEiF2rWZn+xBeDjw7LOqoyCyrdq1gZMngbg41ZFQRho1Al54QXUURLZlvFCk6hjKVc3L2r/GjeUU1ETOhid92hcUJJvhEjmb2rXlgOec4Urbpk6VU64TOZPatWX3epUzXFHmnn+e+YmcT0gIUKCAPMdr08b2r8+WUtm0YYOc0pjI2dSuLbtecLBO7dq2Dbh4UXUURLZXu7YsSB0/rjoSysi//6qOgMj2KlUCPD1l9zDSrqgoOUYhkTPR6dQ2PGBRKpt69wb++Ud1FES298ILPKHQugEDgG++UR0Fke3VqQMcOSKnNybtev111REQ2Z6rqxzzjl3DtC0sTM6+R+RsFi0CFi9W89rsvpcDHOScnJGfn7xNTFQbB6Xv9m0OIkzOycNDtkZgftK2GjVUR0CkRuXKzE9aV6kSBzkn51S6tLxVkaPYUiqbgoI4yDk5r5dfBpYvVx0FZYRTGZOzWrgQeOst1VGQOcaxvipWVBsHkSrbtgE9e6qOgjJSqZLqCIjUuHFDthRUMe4di1LZ5O+vOgIidXbuBPbuVR0FZYQ5ipzVqVPAr7+qjoLMMU41zfxEzuruXWDjRtVRUEaYn8hZeXgA69bJ4yhbY1Eqm6pVUx0BkTrFiwMxMaqjoPTUqSP/sRA5I+Yn7Xr4UN4GBKiNg0iV4sVVR0CZMXZhInI2Pj5A3rxqjqFYlMqmDz5QHQGROv7+T654k/Zs2qQ6AiJ1/P2BuDjVUZA5FSrI2/Ll1cZBpApb4Whf376qIyBSQ6eTOeraNdu/NotSRJRlxYuzKEVE2sSWCNplMKiOgEgtPz954kfawxn3iNS1NmdRKouMg3SuWaM2DiKVOnYEJk1SHQWlZ9w41REQqVOpEjBjhuooyJx331UdAZFarq7AzJmqoyBzIiPlbXS00jCIlBo9GujRw/avy6JUFhmbsxUooDYOIpXq1gUGDVIdBaUnXz7VERCp4+cHjBihOgoyhy1siYAXX1QdAZljzE+FC6uNg0ilsDCgTRvbvy6LUlnEmWOIgPv3gdWrVUdBTxNC3hYrpjYOItU2bFAdAZnDohQRsG+f6gjIHGPDA04UQ87s3DlgxQrbvy6LUllkPKDy81MbB5FK9+4BL7ygOgp62t278pZFKXJ2//uf6gjIHBaliIAlS1RHQOZw1lYiYMcONa05WZTKImMVvWBBtXEQqcSirDYZ81PRomrjIFKNhVltUjGjD5HW8BhKm5ifiNT1BrObotSCBQsQEhICT09P1K9fH3v27FESx3PPyVvOnKGGITEBh1Z9hPu/fo5Dqz6CITFBdUhOyQUJaOrH/WCklfxUqpS8rVVLycsTmKO0wJCYgPKC+yAlreSoTZuUvCz9h/lJPUNiAnyiuQ9S0kp+mj1bycvSf5iftMHDPQHPFFKwH4QdWLlypXB3dxdff/21OHLkiBg6dKjInz+/uHbtmkXPv3fvngAg7t27l+NYEhISxA8//CASEhJyvC5V7HUbds6fIKLz6YWQQ+cIAYjofHqxc/4E1aFlmb3uAyFyZz9Y8ztqa8xP1mXP2+AoOYr7IDV7zk9C5CxHWXvb7fmzJYR9x+8o+UkI+90PubUP7DlHMT9Zl71uA/OTNuycP0FcVnQMZRctpebOnYuhQ4di0KBBqFSpEhYtWgQvLy98/fXXNo/ll19s/pIEYNdHE1Fv9Psods+QanmxewbUG/0+dn00UVFkzoX7IS0t5adTp+Qtx22xPX431OM+ME9LOWr4cJu/JIHfDS3gPjBPS/lp7lybvySB3w2tMO4Hf0X7QfNFqYSEBOzfvx+tWrUyLXNxcUGrVq2wc+dOm8fz7782f0mnZ0hMQPBk+Z/i6Q+s8e+gKXPZzDOXcT+kpbX8dP26vH3wwOYv7dT43VCP+8A8LeUoIYCVK236kgR+N7SA+8A8LeUnANi82eYv6fT43dAGLewH11xbs5XcvHkTBoMBfk+NCujn54fjx4+bfU58fDzi4+NNf8fGxgIAEhMTkZiYmKN4hEg0rcteGWO3l204tOpj1H6qapuSC4CAuwbsX/UxqvUYZbvAcsDe9gGQu/vBnt6HlLSWn5KSjM9PhJ2+pfxuaAD3QWr29D48Las5KjfzU3IykCeP/X22UuJ3QxvsbT/k9j6wl/fhaVrKTwDg4mJfnytz+N1Qz972AaCNYyjNF6WyY8aMGZg2bVqa5b///ju8vLxytO7q1eXtH3/8kaP1aIG9bMP9qM2obcHjjkVtxmXvMrkejzXZyz4Acnc/PHz4MHtB2aHczE9GJ078gRMnrLIqZfjdUI/7QGJ+sl5+MvbIsafPljn2FL+j5ifAfvZDbu8DZ8lRuZ2fXnxR3trL5yoj9rINzE/aoIVjKM0XpQoXLgy9Xo9rT83Tee3aNRRLZ87n119/HePGjTP9HRsbi6CgILRp0wa+vr45imfu3ERUqPAHWrduDTc3txytS5XExET88Yf9bMOhuNPAZxsyfVzF0Bao1qGDDSLKOXvbB0Du7gfj1S57o7X8tHNnIu7c+QMlS7ZGxYr28bl6Gr8b6nEfpGav+QnIeo7KzfwEAAEBifjiC/v6bKXE74Y22Nt+yO19YK85Smv5KTw8EYMH28/nyhx+N9Szt30AaOMYSvNFKXd3d9SuXRubNm1C165dAQDJycnYtGkTXnnlFbPP8fDwgIeHR5rlbm5uOf5wNGgA3L1rnXWpZi/bUKPHSFx5eRKK3TOYHQQtGUBMfj1q9BgJvR1sT0r2sg+A3N0P9vIePE1r+Sk4GLhzByhc2H4+V+nhd0M97gPJXt4Dc7Kao3IzPwHAqFHWXZ8q9hS/o+YnwH72Q27vA3t4D8zRWn7q3t2661PJXraB+UkbtHAMpfmBzgFg3Lhx+OKLL7BkyRIcO3YML730Eh48eIBBgwbZPJZGjWz+kk5P7+aOi2/LKyPJT91n/PvStHHQu7nbNC5nw/1gnpbyU0CAvC1SxOYv7dT43VCP+yB9WspRkybZ/CWdHr8b6nEfpE9L+al3b5u/pNPjd0MbtLAfNN9SCgB69uyJGzduYPLkybh69Spq1KiBjRs3phkYzxaMs1sJYfOXdmoNRs3GLgDBk+eieIqB2GLy63Fp2jg0GDVbXXBOhPshLS3lJ+P4n9evPylQkW3wu6Ee94F5WspRu3fb/CUJ/G5oAfeBeVrKT6dO2fwlCfxuaIVxPwS9NRcBsbbfDzohHL+8Ehsbi3z58uHevXs57nO8dm0iXF03oEGDDvDzs48meU9LTEzEhg0b0KFDB7tpVmhkSEzAwVUf41jUZlQMbfFfM0L7q57b8z4AgKSEBER+/jGuHrbOfrDmd9TeWHPbr11LxK5dG5CU1AHdu9vf5wqw/++GI+QoR9gH27/+GJcOMD/llLW3vU6dRLz1lv1+thzhu2Hv+Qmw7/1gSEzArqUf49xe6+0DZ81R1t7uMWMS0by5fX6ujOz9u8H8pN7DuAREffUxbhyz7TGUXbSU0pJixYCbN4GrVwEFRXynp3dzR7Ueo3DZuwyqdehgd/2LHYWruzuaDh+FDRu4H7SkQAF5GxOjNg5nxhylnt7NHY0GMz9pUTrzP5CNMD+pp3dzR73+o3CzMPeB1vj7q47AuTE/aYOXtztajLD9MZRdjCmlJcYDqqtX1cZBpNJffwFDhqiOgp6m08nbpyayIXIq9+8D/furjoLMYVGKCHjtNdURkDnGxgYJCWrjIFLp88+Bt9+2/euyKJVFxoTFlgjkzA4dAtatUx0FpYf5iZxZdDTw44+qoyBzWJQiAtauVR0BmcOGB0TA5s3A3r22f10WpbLIOBOpC985cmIxMUDRoqqjoPR4e6uOgEgdFmW1q3Rp1REQqZWUBNy4oToKMsc4QczDh2rjIFIpJkbNEEUsrWQTpw0lZ3blCq94a9n776uOgEidK1dUR0Dp6ddPdQREal27xhm8tapChdS3RM7oyhU146uxKJVN/IdCziwmhkUpLWN+ImcWE8PWglrHHEXOii05tY/5iZyVEGwpZXc6dFAdAZE6AwZwIGEt8/PjQJ3kvBo3BiZPVh0FmWNsxRYZqTQMImX8/ICpU1VHQRmZPl11BERqJCcD77wDNGli+9dmUSqbLl9WHQGROs89x8KslsXH82osOa8GDYDhw1VHQeYUKiRvmZ/IWQUFAWPHqo6CMsL8RM5Kr5f5qVo12782i1LZdOmSnHaayNncuwcsXQrcvas6EsrIkSOqIyBSY/ly4Nw51VGQOcbJYo4fVxsHkSp//gns2aM6CsrIsWOqIyBS48gRObu6ii6sLEplkxDAwYOqoyCyvd27Zfe9mzdVR0LpyZ8f2L9fdRREtvfwIfD888DWraojoYzw+Imc1eTJwGefqY6CMnLkCIdAIOe0bBnw8suATmf712ZRKps8PYF9+1RHQWR7+/cDPj5AqVKqI6H01KzJ/ETO6Z9/5JgINWqojoQycuAABxMm55OUJAuyzE/aFh/P1ubknPbvB2rXVvParmpe1v799RdQurTqKIhsz5iwXFjS1qxPPgGKFFEdBZHt7d8PuLsDlSo9GVSbtOfvv9VciSVS6fhx4NEjoFYtORQCadM//wBlyqiOgsi2hJDHUCNHqnl9nlZmU+nSgJub6iiIbE9lFZ0sExgIeHurjoLI9vbvB6pWlYUp0i4WzckZGbvVqxhEmCwXEsKiOTmfixeBW7fUneOxKJVNf/8NNGvGwc7JuSQmyit8zZqpjoQyEhcHdOwIbN6sOhIi2woKArp2VR0FZeb114EPPlAdBZFteXkBPXrIIRBIu5Ytk2OnEjmTuDigdWsWpeyOh4ccSPXAAdWRENmOmxuwdq0seJB25c0ruxhv3646EiLbevtt4M03VUdBmbl0CfjlF9VRENnWc88B33+vOgrKzP37wMqVHOycnEvlysDvvwP+/mpen0WpbCpfXg52zhmuyJlcvAjcvas6CsqMTievdDA/kTO5fRu4fJkDaNuDGjVki3PuK3IWBgNw7Ji8JW2rUUMWpDjYOTmTkyeBx4/VvT6LUtnk6gpUr86TPnIu48axa4y9YFGKnM3y5XJWUF7d1r4aNeRAz2fOqI6EyDaOHZMTMERFqY6EMlOtmpzMh8dQ5CyEABo1AmbOVBcDi1I50KABsG0br/SRc0hOlt3BGjRQHQlZokEDIDoaOHtWdSREtrFtmxzzzsNDdSSUmVq1ZIvObdtUR0JkG9u2yQvatWqpjoQy4+UlJ8xgfiJnceyYHORc5Tmeq7qXtn/DhgHt28uiFGdpIEe3Zw9w7RrHk7IXrVrJwTqLFlUdCVHui48HNm4EJk5UHQlZomBBYMUKoHFj1ZEQ2cb69UDTpoCvr5w0hrTtgw+AQoVUR0FkG+vXy2KsyomsWJTKgUqV5A+RM1i/Xv6DbthQdSRkCW9voE8f1VEQ2cbWrXJw2s6dVUdClurZU3UERLYRGytnw50zR3UkZKmWLVVHQGQ769cDbdvK8bJVYfe9HPrzT2DMGNVREOW+W7eAbt0AvV51JGSpM2fktMZ37qiOhCh3Xb4sxwGpWlV1JGSp+Hg5TmFkpOpIiHLXmTOAnx/QqZPqSCgrFi4EPv1UdRREuSshQf4/Vn1Rj0WpHLp+HZg/X47dQuTIPvsM+Pxz1VFQVnh4AEuXym5NRI5s8GDg4EF2pbcn7u7Azz/LbnxEjqxmTTl7ccmSqiOhrDhwQJ7jETkyd3c5qP+AAWrjYPe9HGrfHnBxNeCDtVGo2zwG/j7+CA0Ohd6FzUnIcVy5IscmcmXGsCuBgUDNWgZ88WcUUIX5iRzTnTsyN/n4qI6EskKnky1Hlq80oOfZKFx7wBxFjsdgkONxFi+uOhLKqk6dgC++NGDptii4FWB+Isd06ZI8X1B9UY+nmDm05WoE3F4djQ/vXAYi5LJA30DMbzcfYRXD1AZHZCXPPw8UKACsWaM6EsqKiGMRONN5NGJxGVuYn8hBffIJ8PHHQEwMuxfbm/wNI3BVjEbLby+bljFHkSP56y+gSRPgn39kF2PSIIMBiIqC7tIlFLpwQQ6u4+aGuKAIYOxoDNjC/ESO6dEjoEIFYNYs4JVX1MbC7ns5EHEsAuGrwhHveTnV8ujYaISvCkfEsQhFkRFZz507chBhDvpoX4z5KRbMT+TY1q8HmjdnQUqTDAY5aNSKFfLWYDDdFXEsAlOOhAO+zFHkuNavl+NJVamiOhIyKyICCAkBmjeHa//+aPzWW3AtUwa7PpqIvj+GAz7MT+S4Nm8GHj7Uxjkei1LZZEg2YPTG0RAQae4zLhuzcQwMyYY09xPZk40b5XkEB+jUmAxO9pifyFlERwP79qkfoJPMSHGyhz595ElfmTLw37kzdY56qssAcxQ5kvXr5fGTC8+4tCciAggPlzNlpHTlCuqNfh9djzI/kWNbvx4oU0a2llKNKTI9GZzwAcD2S9txOfay2acCMmldir2EqItRuRsnUS5bsQKoU0f2NyaNMHOyh5AQ6NatA8D8RM7j++8BNzc5viNpSAYne3VnzcKJL2cwR5HD+/tv4ORJoGtX1ZFQGgYDMHo0INJevNP9t2zeRsAlOe1TmZ/IETx+LP9Vd+2qfjwpgEUp89I54UPEk6aaMXExFq0q5r5ljyPSovh42RJh2DDVkZBJeid70dHQ9+oF/507mZ/IaZw5A/TsCRQsqDoSMrHgZK/MO5+YPdl7GnMU2bPDh2ULhLZtVUdCaURFpT2OSsEFQHAsEHoh/VUwP5E9O3lSzrz3wguqI5E40PnTjCd8Tx9MRUcD4eHQrVwJeHjA39vfotX5+1j2OCIt8vCQXWOSLTh5IBvI4GQPQgA6Hap89RViB31n0eqYn8jeLViQpiEzqZbJyZ4OQN5rtxF6AdhaMuNVMUeRPevfH+jbl+PdaVKMZQUl/7gM7mN+IjtWrRpw8aJ28hNbSqWU2QkfAP348YDBgMZBjRHoGwjd052N/6ODDkG+QQgNDs3NiIlyTXw8sH+/bNKplYTl9DI72RMCXjdvoskFHfMTObw9e+S/beYnjbHwZK+KoSBzFDmsf/8F7t9nftIsf8sKSjHeaZcxP5G9u3RJnk5oKT+xKJVSJid8EAK6y5dR6OhR6F30mN9uPgCYOaiSf89rNw96Fw3tbaIsWLtWjiV19qzqSMjEwpM9l2vX0s9PgvmJ7N/Fi0DDhsDSpaojoTQsPNnr0Wo0gLQ5SsdjKLJzycmy04XqKdYpA6GhcrDUdAbTETrgoi+wvUTq5cxP5AjeeQdo3FhbPWFYlErJwhM+zzt3AABhFcOwpscaBPgGpLrfIz4Qa3qsQVjFMKuHSGQrn34KtGgBlCqlOhIysfBkD/7+6eYn3f1ALOvC/ET27fPPgbx5geeeUx0JpZHZyR4AERiIJv3eMJujinjwGIrs2+bNcrwWrYzVQmbo9cB8efHu6VwldDrooMOVdybAP3/qWX58wfxE9u3uXWDZMmDIEG3NCsoxpVKy8ITvcYECpt/DKoahS/kuiLoYhZj7MXhwzR9tyociOIjVc7Jf//wD7NgBrFmjOhJKxXiyFx1ttpux0OnwqFAhuDVuDCBtfnJP8EcJXSjq1GB+IvuVkAB88QUwYADgbaZrBSlmPNkLD5cneylylfjvb8MHH8BVr0+Vo6JjY3DlhD9Gdw2FuxtzFNmvTz8FqlSRLRFIw8LC5IHu6NGpe8oEBADz56NBWBjOJ88wHUNdP+uPgc1Dkc+X+Yns19Kl8jhKa0VzFqVSyuSEDzodREAAblWqlGqx3kWPZiHN5B9V5c1/Yw4T2aWFC4HixYHOnVVHQqlkcLJnTDiHhwxBzRSdxFPlp/8Yn8YcRfYoIgK4fh146SXVkVC6MjjZ29u3L2p262ZalCpHVZM3PIYie3X5MvDjj8Ann/AzbBfCwoAuXYCoKCRduoRdFy6g/quvws3TEwDP8cixCCGL5mFhlne+sBUNNdrSgAyachr/NnzwQaajgv3xB1CxIhCXwYwNRFpWvDgwYQLg5qY6EkrDeLIXkLrLCwIDYVi5EjENG2b49CtXgOrVgb/+ysUYiXKRu7tsdv7U9SHSmrAw4Px5YMsWYPlyYMsWJJ06lWGOEkI+bcYM24VJZE137gDt2gH9+qmOhCym1wPNmkH06oVbVatmeJ43ezbQtavtQiOypvv3gbp1tTneHYtST8vghA9r1kCkuLqXnvLl5eDQH3+cSzES5bLJk4ExY1RHQekyc7KHc+csyk/FigFJScDbb+d+mES5ISwM+PJL1VGQRf472UPv3vI2k4t6Oh1QtCgwdy4QG2uTCImsqmpV4JdfAB8f1ZFQbggOBtav54U9sk++vsC338rOYVrDopQ56ZzwIcyyQe2Cg4EXXwRmzQJu387dUIms6do1YOpUWUknjcviyZ6RiwswfTrw++9yMFYieyGELJifP686EspNb70FPHgAzJmjOhKirPn8c2D7dtVRUG7q0UO2Nn/tNfMjvRBp1ebNwOLF2v3csiiVnmye8Bm9+aZsjcAm6GRPpk+XPViTklRHQrmpWzegXj0eVJF9iYiQ0xizKOXYAgKAUaNka6lr11RHQ2SZy5flEGp//qk6EspNLi7y3C4qCtiwQXU0RJZJTgbGjpVFKa1SWpQKCQmBTqdL9TNz5sxUjzl06BBCQ0Ph6emJoKAgzJ49W1G0WVO0KDB+PLB3r/wgEGnd2bPAZ58BkyYBKSaYdGqOmqN0OmDmTCAmBrh0SXU0RJlLSgLeeANo21ZeJyLHzU+A/D+UP788hiKyB1OnytlAx41THYk2OHJ+atdO/h/avVt1JESWWb4cOHRIHvtrdZB+5bPvvf322xg6dKjpb58UnbBjY2PRpk0btGrVCosWLcK///6LwYMHI3/+/Bg2bJiKcLPkjTfkPymt7nyilCZPBgoXlleo6QlHzVHNmwNnzshBo4m0bvFi4MQJYMUK1ZFoi6Pmp4IF5YUS5ieyB8ePA998I1v3+fqqjkY7HDU/6XTAb78xP5F9SEiQ3eK7dgUaNFAdTfqUF6V8fHxQrFgxs/ctW7YMCQkJ+Prrr+Hu7o7KlSvj4MGDmDt3ruYTFvAkWW3fDvj5AWXLqo2HKD1nzsgq+sKFgJeX6mi0xdFz1LlzsjtU8+aqoyEyz2AA3n0X6NULqFlTdTTa4uj5KTZWjn8XHq46GqL0zZgBBAXJ8WTpCUfPTwYDsGqVHHLYw0N1RETmLVsGXLwoJ2DQMuVFqZkzZ+Kdd95BcHAw+vTpg7Fjx8LVVYa1c+dONGnSBO4pStFt27bFrFmzcOfOHRRIp49RfHw84uPjTX/H/jeFS2JiIhITE3MUr/H5lq4nKUlOXV2jBvDddzl6aavJ6jZojb3HD2hvG4KDgchIoE4dwNKQrLkNWnkfzLF2jtJSfgKAadPk2AgHDgB58uTo5a1Ca9+N7LD3bdBi/Bs3ypMA5qfU7Ck/GdeT8jYzq1cDI0cCpUrJWc1U0+J3I6u4Ddb3wQfy4o6Li2U5ytrxa+V9eJqj56dTp4ChQ4GbN7VTkNTadyOr7D1+QHvb0KuX/B9atqy2j6F0Qqgb5nbu3LmoVasWChYsiL/++guvv/46Bg0ahLlz5wIA2rRpg5IlS+Kzzz4zPefo0aOoXLkyjh49iooVK5pd79SpUzFt2rQ0y5cvXw4vNgMh0pyHDx+iT58+uHfvHnw11PY9N3IU8xORfWF+Yn4i0jIt5ijmJyICLM9PVi9Kvfbaa5g1a1aGjzl27BgqVKiQZvnXX3+N4cOHIy4uDh4eHtkuSpmrpAcFBeHmzZs5TtaJiYn4448/0Lp1a7i5uVn0HIMBCA0FPD1lM3RXxe3TsrMNWmLv8QPa2YbERKBFC9lC6sMPs/pc621DbGwsChcubJMDKtU5Smv5CZCTMnz/PbBnD1C8eI5CyDGtfDdywt63QUvxT5ggW/Lt2JG1SXCZn7SXn4Ds7ZcffgAGDJA5ql27HIeQI1r6bmQXt8F61q8HXnpJ5qhSpSx/nrXjt1WOYn5KKzpadisfNkzOYK2aVr4b2WXv8QPa2YaLF4FGjYB587LeBV7FMZTVyyPjx4/HwIEDM3xMqXQyd/369ZGUlITz58+jfPnyKFasGK49NR+w8e/0+igDgIeHBzzMdO51c3Oz2ocjK+tycwM++gh45hngyy9lU3QtsOb7oYK9xw+o34YZM4B9+4AFC+TnNDussQ22fA9U5yit5SdAduFbs0bOGrR2rVVCyDHV3w1rsPdtUB1/ZCQwf7788fTM3jqYn7SXn7K6vvBwOYj0iy8Cp09ro5ux6u+GNXAbcubGDVmQatwYKFcue5MaWSt+W70HzE9phYQAr78OvPYa0Lu3HK5FC+z9+23v8QNqtyE5WRZKPT2BZ5+1j3M8qxelihQpgiJFimTruQcPHoSLiwuKFi0KAGjYsCHeeOMNJCYmmjbojz/+QPny5dMdT0qrGjaUYyO0bq06EiLpn3+Ad96R/0hr11Ydje0wR6VVoIBsheDvrzoSIikuDhg8WLYyfuUV1dHYDvNTWjod8PnnwLFj2ihIEQEyLxkMwKefOs8s28xP5o0bBwQEANWqqY6ESPrsM2DzZtlDSyM9ejPlouqFd+7ciXnz5uGff/7B2bNnsWzZMowdOxb9+vUzJaM+ffrA3d0dQ4YMwZEjR/D9999j/vz5GDdunKqwc6R7d/nBuHRJDoBOpEpiIjBwIFChgpwmlNJythwVGgqUKQM8eCCvABOp9PrrwNWrwNdfy8GDKTVny0+BgfKinhDAhQuqoyFnt2aNnHXtk0+ADDpuOC1ny0+urkDfvvJ/1fnzqqMhZ3f+vBz6YNgw+2oMo2x0Iw8PD6xcuRJTp05FfHw8SpYsibFjx6ZKRvny5cPvv/+Ol19+GbVr10bhwoUxefJku5gqND23bskZZP73P2DiRNXRkLNycQH69QOaNeM0tulxxhwlBNC+PeDtLaeOdZarv6Q9HTrIFpxlyqiORJucMT8BwJQpchiEI0dkC08iFapWBSZPlrNaUVrOmp/+/FOOexcVJXvIEKlQoIDsWmxvjQ6UFaVq1aqFXbt2Zfq4atWqISoqygYR2UahQsALL8h/Zp06AemM1U6UaxIS5NTq48erjkTbnDFH6XSyWN6pE7B4MTBokOqIyNkkJMixD9q3Vx2JtjljfgLkld+PPgLGjAGWLFEdDTmjhASgfHk5FiOZ56z5qVkzeTFl4EDg4EF2NybbS0gA8uUD3n9fdSRZx0bxCrzzjhwYb+BAduMj20pMlFdv5s9XHQlpVceOQP/+wNixwOXLqqMhZzNuHPDcc7LVHtHTAgPlTLFLlwI//6w6GnI2a9bIVlI3b6qOhLTI1VVe0LtwQTY+ILKlc+fkLKDbt6uOJHtYlFIgTx45k8zevfLgishWZsyQA5w3bqw6EtKyefMALy9g+HAWB8h2IiPlTKBNmrDrKKVv4EDZkm7YMODuXdXRkLO4cQMYMQKoXFn2eiAyp2JF4O23gQ8+ACxoLEZkFcnJwJAhgF5vvwPuK+u+5+waNgQWLgSaN1cdCTkqQ7IBURejEHM/Bv4+/kg6G4q339bj9deda7Y9yroCBeTVPiFYHKDc8XR+KuMWin799E432x5lnXE2vrVrAR8f1dGQo0qZo4p6+WPWiFAkJ+uxcCH/L1LGxo2TPRM4RAvllqePobZ9G4otW/R2Ndve01iUUmj4cHkbGyunvy5eXG085DgijkVg9MbRuBz7pP+V7n4gqobPx5QpYQojI3vRpo28TU4GTp2SY2gQWYO5/OT+KBBeJeZj5cowzrZHmQoMBEaPlr8fPy5nkiWyFnM5CpUDMWXwfPj58RiKMubqCrzxhvz9zBkgKEiO5UpkDWbz071A9Jg6H61b229+4qGfBvTqJcdxefhQdSTkCCKORSB8VXjqZAVAeEfj34rhWH8qQlFkZI/mzAHq1ZMnfkQ5lV5+SsgTjbttwrHrHvMTWW7XLqBSJWDFCtWRkKNIL0chXzTePh6OiGPMUWSZuDjZM8ZYQCfKqXTzk280VsO+8xOLUhowYwZw4oSc6Yrjt1BOGJINGL1xNATMfJB0ctmYjWNgSDbYODKyVy++CAQEAF26AHfuqI6G7FmG+QkCOjA/UdbUrw/07QsMHgzs3686GrJ3meUogDmKLOftLc/xFi2SQ7YQ5YSjn+OxKKUB1avLmWRWrQLee091NGTPoi5Gpa2epyAgcCn2EqIuOs4UvJS7fH2B9evlIK+9e3PGUMo+5ieyNp0O+OILObBrly7A1auqIyJ7xhxF1jZkCDBqlPzZskV1NGTPHD0/sSilEd27A1OnyilET59WHQ3Zq5j7MVZ9HBEAlCkDrF4N/Pkn8O23qqMhe8X8RLnB0xNYt06OfzdpkupoyJ4xR1Fu+OADoFkz4IUXeGGPss/R8xMHOteQt94C2raVJ4BE2eHv42/VxxEZtWwJ7NgB1K2rOhKyV8xPlFuKFwf++EMOKEyUXcxRlBtcXYHvv5ctzl155k3Z5Oj5iS2lNMTFBWjQQI4r9fHHwJUrqiMiexMaHIpA30BAmJ+vWAcdgnyDEBocKhcYDEBkpBwlNjJS/k2Ujvr1ZZ7auBHYulV1NGRvspyfiLKgcmXZ3fjMGeDLL1VHQ/YoNDgUhdyYo8j6ChaUsxjHxQGzZgGJiaojInsTGhwK/7yOm59YlNKgGzeA2bNly4Tr11VHQ/ZE76LH/HbzodPJ5JSS8e957eZB76IHIiKAkBCgeXOgTx95GxIilxOlQwhg3jzg2WeBnTtVR0P2JGV+Qmb5iSibVq0Chg6VF/eIskLvoseiLvMBS46hiLJh/37ZM6ZfP3blo6zRu+jxybOOm59YlNKgokWBzZuBu3eBVq2AW7dUR0T24Pp14OWXgXYlwrCmxxoE+Aakuj/QNxBreqxBWMUwWXgKDwcuPzVgXnS0XM7CFKVDpwPWrgVq1QLatQP27VMdEdmDpCRg7FighofMT4EZ5SeiHHjtNWD8eDmw8BdfqI6G7MWnnwIbNgDhlcOwNrNjKKJsatpUduVbu1bOGpqcrDoisgc7dwLvvgt0q+C4+Yk9WzWqbFlg0yaZvNq2lb/ny6c6KtKqW7eA1q1lYerVV4GwimHoUr4Loi5GIeZ+DPx9/BEaHCqr5wYDMHq0bPLyNCFk1WHMGDmVkd4+q+2Uu/LmBX75BWjTRv5ERsrZr4jMMRjkDETLlgEtWgBhnTLJT1FRQEwM4O8PhIYyD1GW6HTA++8Djx8Dw4fLgdCff151VKRlX3whL+pNmgR06JDBMZSA/IfH/EQ50K2b/H/Yp4/MT599hv9aEBOltW+fvAhcvbqF53h2egzFopSGVaokZ7uaMQPw8FAdDWnV9euyRV1MjBznp2RJuVzvokezkGZpnxAVlbaFVEpCAJcuycc1M/N8IgA+PsCvvwKDBrFgTulLSgIGDpTD1i1bBnTqJJebzU8REbJgnjI/BQYC8+cDYfZ79Y9sT6cDPvpI/l6kiNpYSNsWLgRGjJBFqRkznixPk6OYn8iKevYE4uOBs2dZkKL07dolC1KVKsmLwcZ6gCMeQ7H7nsZVrw6sXCkr6YcOcYwpSu3+fdma7sYNWZCqVMmCJ8VYOFWopY8jp5U/v5yKvUQJ4M4dOVYCUUqDB8uuCitWAL16ZfBAdikmK3NxAT75RB7QJyfLYRGIUvrqK1mQGj1ajkGWbnGA+YlyQf/+wNSp8vfISI4xRakdPCh7wVStCvz2m7wYnC4HyFEsStmJ5GQ5KF7TppyVj57w8ZHdYrZts7AgBcjmnNZ8HBGAyZNlw7pt21RHQlrSsyewZg3Qo0cGD8qsSzEguxRzdlDKpnXr5OQxH36oOhLSkhYtZOuoDz/MoCDF/ES5LDpaFs979wYSElRHQ1pRvjwwcqSc8drXN4MHOkiOYlHKTri4yEHx4uKAZ54BDh9WHRGpdPAg8N138vdXX5VjkFksNFQ250zvCEynA4KC5OOILDRzJlCvnjywWr1adTSk0s2b8kRPCDlLY5cumTwhK12KibIhLEwOgD5unBw3SOPH5pSLkpJkfrp7Vw538NprmXSfYn6iXBYQIGcNXb8e6NhRtjwn57V8uex5kCcP8N57chzXDDlIjmJRyo6ULQts3y6rpQ0byllCyPmsXi0Lk598ks0Da71e9i8G0h6JGf+eN89uBsYjbcibF/j5Z1mA6NEDeOcd1RGRCocPy+Lk3LnAhQsWPoldiimX6XTy4P6DD4A5c2SeevRIdVRka3fuyEL5W29loVUv8xPZQOfOcpzOffuA+vWBM2dUR0S2ZjDIInnfvnLYA4s5SI5iUcrOlCgB7NghD6j8/FRHQ7aUnCy7SPXoIf95bd6cg7pRWJjsUxOQekpRBAbK5XYwIB5pT5488grPe+9xcGFn9OOP8oKJjw+wdy8QEmLhE9mlmGxAp5MtpX75Rf7r8/RUHRHZ0rFj8mR/3z45PkvnzhY+kfmJbKRFC/m/s3JloFAh1dGQLd27J8/t339fXjyZNSsLT3aQHMWilB3y9pZdt2rXljM3TJsGPHyoOirKbe+8A0yfLpudL18OeHnlcIVhYcD588CWLXKFW7YA586xIEU5otMBr78OvPii/Pujj+THihzbli1A165A27bAX39loSAFsEsx2VS7dk+mYP/lF+CPP1RHRLnt9m3ZwtzdHdizR44vZjHmJ7Kh0qXlGHj588tD9PnzzQ8VRI5DCHn8tH277AU1blwWZ2R0kBzFopSdO3QImD0baNxYdhclx5OcLG9HjJAH0JmOf5AVer0cnbp3b3nLLntkRbGxsihVt66cWYYcjzE/NWkCLFsmx8XIdPyDp7FLMSmyZAnQvr3MUzzxczxCyJ+CBeVMe3/9JU/6s4T5iRTZsEGOT92/P/D4sepoKDckJ8s0MmOGLJi3bZuNlThIjmJRys7VrSv/yd66BdSpI38nxxEZCdSqJbsBFykiD56J7IWvL7B7N1C9upzWdtEi1RGRNV26JLvrGbsS9+kjJ+XIFnYpJgVWrJAnfaNHA0OHytbn5BgeP5Yn89Ony7+7dctkBquMMD+RAiNGyI4Ma9Zw9nVHI4S8GNKxo5x8oUEDoFy5HKzQAXIUi1IOoHp12Qe5fHnZ2IWD49m/xETg3XfliXyhQrLJOZE9KlRITmf70kvyxzhrJNm3detkF/Jr16w49gW7FJON6fVy4PMlS4BvvwVefll1RGQN//4LNGokz8WyNDtxRpifSIHeveWkadHRQPPmsoBB9u3WLXkRb/RoOX6Y1Xq/2HmOclUdAFlH0aLAn3/KmdlKl34y+2NwsOrIKKuOHgWefx44eFBOXT1tGuDmpjoqouxzc5NXhBo3ljMfAcDFi8xP9ujOHXnivmKFHCj4yy+tPKi9sUsxkQ317w9UrPhkrMboaDmZjCuPku1KcrKcaOPtt2UxascO2drcapifSIE6deQA/QcOyJx0/74sThUooDoyyqr162Wr3MREeRzVq5eVX8COcxRbSjkQd3c5jSQA/PCDbAY4e7acYtLIkGzA1gtbse3ONmy9sBWGZIPZdZE6jx7JfbZrlzy4YkGKHEWPHnK8ocuXgQoVgAEDZJHDiPlJ+/R64Phx2eLthx84yyI5jrp15VXr5GRZPG/cWM7YZsT8pH06nRxrdcIE4O+/rVyQIlKoWLEnQ3i8+SZQpYocZxYGgxzrY8UKGDZvwtazm5mjNOz8edlV78iRXChI2TleA3JQ7doBI0fKQbEjIoBvvgGOIQKjN47G5djLAIC5F+Yi0DcQ89vNR1hF+2ja56j+/ReYOxf4/HPZJebAASs25yTSmIAAYMECYOxY2cLz88+B+FLMT1p18yYwcSIwZQpQogSwfz/zEzkuFxdg4UJg4ECgZk3gnakG1PN7F6s3z8dh/W1ElWB+0pLERDl9epUqcgar779nfiLHNmECcOoU8FXHCDTwGo1CD+Vxkx5AeV/g03ZAa+YozVi3ThbLp0yR5+YjRzJHmcOWUg4qTx7g/fdl0+U7d4BqPSPQfVW46YTPKDo2GuGrwhFxLEJRpM4tMVEOwlm7tpx14epVuZzJihyZTgcMGgQcPizHxOv86mp8NKs7Gu+4jKbnAJf/ZnRjflJv3TrZeuSHH+RBMMD8RI6vYUPZhf6zthHo9ZYfmg6egk++u43IJcD5eUC3o8xPWnD0qGx1MGUKcPKkXMb8RI4uMBD4ZUgE1iIcBR6mPq8LiAXWrGKO0oJbt+SYYGFh8v+JwSDzE3OUeSxKObiGDYH9fxuQN3w0gLTzHYv/lo3ZOIbNPBVo2VIeTL36qmxqHhSkOiIi2wkMBH4avAYXr/RG5BJgxVqkOuljflJr4EB5MGVsat6qleqIiGwnz68R6P9TOAKSbqVabjzp63qU+UkV4yyJTZrIWfZ27ZKtOYmcgsEA3ZjR0EGkOZE3/j1vI6BLZo5SqX594Lff5HAHERFy+ANKH4tSTmDfjSjcN8gWCL3+RaqWCIA88bsUewlRF6PUBelEklO+9+LJ2FEeHupiIlIiIgIuPZ6Df2zqg6WUV/qYn2wrZX7au1fOSPbDD4C/v7KQiGzPYJBTI4nMT/qYn2zHmJ+MJ3ejRskLenXrqouJyOaiouTgnOlwARAcC4Re4DGULQmR+hiqUSN5Qa9vX7aOsgSLUk5Av+5HnJ8Hsy0RUoq5H6MiPKdx4YIc2LlfvyfLtm7lwRQ5KdNJX9p/RClP+owFdOan3HX/vpzps1q1J60Q/vlH5iseTJHT+e+kL72PfsqTPoD5KbcZDLK1Qblystu3cVbEyZN5QY+cUIxl+cY/LsVTmKNy1Y4dsuXmZ589WbZ0KS/oZQWLUo4uIgKNx89DQGzqxSlbIhj5+/Cbkxtu3ADGjJEHU7/9BoSGymo6IAdUJXJKWTzpY37KHfHxwEcfAaVLAzNmyEkyEhPlfa6cCoWcVRZP+pifcocQcoaxmjWB55+XRfM8eVRHRaSYhZWOGO8UT2GOyhWHDwOdO8vZWuPigPLlVUdkv3hK7MgsbImgTwaCfINwfmso3n1XfqnIOh48ACpWlLMfTp4MnD4NvPQSWx4QWXrSVzxO5qeCcaF44QXg0qVcjsvJdOsmZ0Hs2FEOFDxnDuDtnfnziByahSd9V71lfqrnF4q+fYHdu3M5Lifz/vsyNxUsCOzcKcdlKV1adVREioWGykE50zmZSAZw0ReIKgHooEOQbxB+WRiKlSvlqSFZx86dslB+5AiwfLmcmbhFC9VR2S8WpRxZFloizGs3D5cv6TFtmsxzo0cDx4/bMljHceQIMG4c8PAhkDcv8OWXwJkzwBtv8GSPyCQLV/rmtZuHSxf0+PFHoGRJ4LnngC1bnrQ4JMtdvy5bRO3fL/9+803g33+Br78GgoPVxkakGVk46ZvXbh5iruhx6JCcFKBRI9nV7PFj24bsCB49ApYsAZYtk3/36wds2CDzfYMGamMj0gy9Hpg/X/7+VI4yDmk0ph0gXOR9c1rNw8njevTuDZQtC8yeDdy8acN4HURyMvDnn8A778i/69eXXfSOHZOz7LH3S87w7XNkFrZEmFVlDMIqhuHNN2VLnhEjgBUrZAufHTtyOUYVDAYgMlJuZGSkVS4bJCQAq1YBzZoBVarIirmxqNe1K1C4cI5fgsixWHDSF51fj5GvrkJYxTA8+yxw9iwwb54s/LZoIYsrDsnKOUoIYPt2oE8f+Za//bacnhiQJ9CVKuU0YCIHY8FJ3/SwQljVa+3/2bvv8KbK/g3gd5ouCpRNW2jZypKNLClDWbLEUpAp4AABZarIq7LUlyVLAREX+v4EZBRFRaQiSJEhU2SIyG5p2dCW0ZGe3x9f0lLaQtomec5J7s919Uqb1e9pkrvnPOcZCKsehsqV5TO1ejXg5ydDzbp2dWrFzuOAfajjx4HXXpN8GjhQnhYAypQBnnySvcuJsggLA1atAsqWzXR1tD8Q3hNYUwMI9g/Gqp6r0LNWGL77TnpyhobKyI3KleXkuctxQD5dvQrMmQNUqwa0bSt/9lu3pBGqXz/A2zvfv4LARinXZmNPhEYNn0r/vlw5WQnu7Fngm28yzkw9/7xMgnvunCMKdaKICKBCBaB1azlCa91afo6IyNfT9uwJPPOMHPwtXw6cOQPUr2+Xiolc030O+rQ7VwV+shxhj/RIv75wYeDll6VRatOmjEUDPvwQGDJEJuY2PAdk1Lx5siO6axcwfToQEyOZTkT3kcNB3/XihfHX/An46LPzCKseln692SwP+eUXOSk1ZYpc/8cfMgRt3brMKzMZkgPyae9eoEoV4LPPgEGDgGPHgE8+sVvFRK4rLAw4dUp2iJYuhWXjL/jnj/Wo+OQYRPaNxMmRJzNlVKNG0hMxOlp6I/r5ScPU44/LqI4bN9Rtil04IJ+Sk2WeqHHjgIYNZRDS/v2c284R2Cjlyh7QE0EzmYCQELnfPXx8pKHFbJadKG9vGdtfvrwMnYmIyFihyTAiIoDwcGj3LKOqxcQA4eE2h1ZCguynhoUBW7bIdf/5jwyB+e03aZxiqzmRDXI46LtVsiQsy7+BOTw824eZTNIr0TrczMtLJsOtWxd47DFg8WKDdk23Q0alpMj+6fDhwKxZcl3PnrLIwtGjMn9U8eKOKJ7IBd1z0JcaGYktnyxBjcFvwexhzvFhVatmnNS7dUtO6HXqJI0v770n87cZjh3ySdNkX2nKFODZZ+W6evWkU0NMjMxpV6WKI4onclFms+wQ9e4N8+NPoGWlx9GiWAu0LN8yx4wqWVIaygHgyhWZWmTwYNkVGzFCelYbjp2O8WJigEWLgCeekOM9b2+ZF/jMGRkF07w5e246ChulXNkDeiIAkLEw5px3rADpnvjRR/JBnTNHDmz69gVSU+X2n3+WVndduzPpu6ZpWebYMmkaNGiyRN59unlGRMjKVCVLSsPciRMZc0Y0aiTD9ogol7I56Iv8+GNoTz9t81O89JI8RUSEnPkbOhQ4cEBu27VLvtf9/FP5zKj9+yWXS5eWs57ffZcR7WXKAO3acb4Dojy566BPa9nygftM92rZUuZw27FDDmimTpU5pwDplb5pU8aKl7qVz3y6fFnmKq1USSYGnjlTVvdMSZHd01692POASIXgYGDtWjmmGTYMWLlSTrQD8nFevRqIj7//cyhnh2O8qVOlJ1RwsPTI9/LKOLnZqRMQGOiw6ukO7qK6uvv2RFgut9uoSBH5oB44IAeABQtKw1SvXtLhqmFDGeK3b58ODwAfMOm7SYPsHUZFAZD69+wBJk4EDh+W+xw7Jnn2/vvAyZNyENiunTOKJ3Jx+TzoA+QA5+mngchImczb2gH0nXeAOnVkgvQRI2RoTXKyfcu3i1xm1MmTwAcfZJz8S0yUrBoxAti9W+46apQzCieiBzGZMibFvXRJFkMB5ADw8celMblPHxn+f+2a0lKzl8t8unpVehW8/77c7ucHbNggB3c//yx/g88/lwM/IlKvQgWZviUmRg4bAZkSITxcTsa3bw8sWCA9hnQnl/mUlCQ5NHp0RgeLXbukl+bXXwMXLwLr18t+IzmPwxql3nvvPTRr1gx+fn4oWrRotvc5c+YMOnXqBD8/P5QuXRqvvfYaUq3vjjs2b96M+vXrw8fHB1WqVMGSJUscVbLrskNPhHsFBMilp6e0ri9dKis6zJ4tcynFxcntP/wgQ9wSEvK/GfmRFhNj0/22ropBnz4ZjWwffCCrKgAynjgyEnjlFQlvMjZmlOsqUSLjYGflStn56NxZeg+1bZvRkLNrlwz7s+aVSrZm1OIpMahVS3ocvPqqzFcDSA+MffvkxECDBuxebnTMJ9fl6wtYX9LRo+UEmHXF4969gTfekNvOnZNGqmPH1M9FZWs+fTUzBi1aAKVKSc/NtWvlJF+BArIvNX++nMzz8XFwweRQzCfX5eEhjeSAHM+dPClTAaSlyYku68l4TQOWLJE54VSf6LM1n1YviEGXLtLI1qEDsGZNRiNbRITkbZ8+QLFiDiyWcuSwRqnk5GT06NEDQ4cOzfZ2i8WCTp06ITk5Gdu2bcOXX36JJUuWYMKECen3OXnyJDp16oTWrVtj//79GDVqFF544QX8/PPPjirbddmhJ0JOihWTHally6R1efv2jDnWx42TrutFisiqBX37yiTFgHN7Ux0wX7TpfhsvX8Tp0zIv1K+/So+L7t0dXBwpwYxyDz4+shM1f760ze/fL2frAdmh6txZ8qpsWVkt67vv5DZn9/a0NaM2Xb2IRo2kse3SJWDaNAcXRkown9yDySQHfpMmycHdmTMZjVJbt8q+1cMPy35W69ayUIGVHvehvj15EaVLS96ePSsnJdlA7nqYT+6jQgU5GR8ZKfscK1bI9XFxsmBKgwayCE3DhrLgjHVFPz3m0w8xF5GSIhl74IA0uFWq5ODiyGaejnriyZMnA0COrd4bNmzA4cOH8csvvyAgIAB169bFO++8g3HjxmHSpEnw9vbGokWLULFiRcy6M1tr9erVsXXrVsyZMwft27d3VOmUD97eGZN7AtL188gRORNo/bIaO1ZapsuUkYPCMmXkYLFDBxm/fOqUXFeiRO52ahISgG3b5CxjbKxcHtZK4Ut/oGx89i2xaZBlVKuOK4WJdfO27WQszCj3YzLJUD6r+fNlGXJrNu3eLZN+AtI4NWSI9JoMCpKvunVlzgVADiADAuTLM5f/STdvli7ysbEZGfXYC6VQwoaMeuqLUuhVN9ebTgbDfHJPISEZ3/fsKUP79u6VbNqzRxp6ABkeV7Gi3N+6DxUUJFMO+PpKrysfH7nO1zd3Nfz1l8wdat2Hio0FAlrblk89lzKf3AHzyT0VKSJzwgGSLQkJcqLPug916FDG3HBNm0pOWY/vgoJkMvWqVWX/JzFRritcOHfHeNHRkonWfafYWOBmhVKYakM+tV/IfNIzhzVKPcj27dtRq1YtBFjHgQFo3749hg4dikOHDqFevXrYvn072rRpk+lx7du3x6gHTJSRlJSEpLuWhou/M0NbSkoKUvI5m6T18fl9HpWcvQ3VqmX0ksqoQYbR+PlJa3tcnPSwqlRJVjz4/feMHkqenrJTVaWKrG5nrbt27RTcuCHjga1zW82aJY1Z1pGJxYtL6PlUDcDIDsCqFRJOd4eWtVf8qA7AsEIBTvm78H2U/XPpiaMyivl0f87ehrJlM3pJZdQAVK4sc+jFxclOz8GDslzyiy/KAgfNm8t9TSaZX89sluGAAQHAmDEpaNMGeOSRFCQmSj6VKyeN5QDQv79M/FuokEyeGRQEFPTQT0bxfZT9c+mJEfPJ+jx3XxqNs+svUkR6SLVufXcN8vXmm3Jwd/687Pfs2iU9rlJS5OBv9265v5+f7Ed9+CHQrRvwf/+XguLFJZ/u3ofat0/yaOpU4NtvpVErIECuK5+mn3ySvwHfR9k9n14wn9Rx5jZ4eQGPPipfVtYRmoMGAcePZxzjHTwos8lUqgQsXCgLZwFyfOflBfTrJz2///5b6q5VKyOfLBaZTqV7dxkS/OqrMszQemKwciDzyd5U7EMpa5SKi4vLFFYA0n+OuzPBR073iY+Px61bt1Agh6U6pk6dmt6Kf7cNGzbAz8/PHuUjMjLSLs+jkh624e4gs1q3Ti6XLcv5NgCYNi1r/Tk91qJZMPhwCYTjMuatB0LuWkki2l/CKqpOSfQ7GI91h9bBWfTwGuSXPbbhprW/r444KqOYT7bRwzbUrp1xVtDqfvlk7Qlq3c+eMSPzNlgfO39+1sdarluwpY6+MkoPr0F+MZ/0l0+A8d9beqj/4Yfl627r18vl2LHZP2bdOjlZB2TNp7175fKZZ+TrbhbNggU6yydAH69Dftirfr1lFPNJPdXbEBiYdcW6S5ckgxo1evAx3vTp2R/jlS2bwzGeL/PJEZy5D5WrRqk33ngD0+8e0J6NI0eOoFq1arl5WrsbP348xliXNoG0pIeEhKBdu3bw9/fP13OnpKQgMjISbdu2hZdBlw0x+jbktf6FlReiV0ovrK2moflpICgRiC0EbC0PpHmYsLzLAnSp1sWBlWcw+msA2Hcb4u203qwRMor5dH/uvA16ySh3fg2yw3yyTz4Bxn9vGb1+wPj5BBj/dbB3/fbIKOaT8d9XgPG3gfmkDyr2oXLVKDV27FgMHDjwvvepZOOMYYGBgfjDumzQHefPn0+/zXppve7u+/j7++fYSwoAfHx84JPN0h5eXl52e3PY87lUMfo25Lb+nrV6wtPTEyPXj8RvHtHp14f4h2Buh7kIqx7miDLvy+ivAWCfbbDX38AIGcV8so07boPeMsodX4OcnsMemE+Oez5nM3r9gPHzCTD+62Cv+u3xHMwnxz2fCkbfBuaTPjhzHypXjVKlSpVCqVKl8lTQvZo2bYr33nsPFy5cQOk7a09GRkbC398fNWrUSL/PunWZu9lFRkaiadOmdqmB3E9Y9TA8VfUpRJ2JQmxCLIIKByG0XCjMHvZbjZDUYUaR0TGjXBfziYyO+eS6mE9kdMwnY3PYnFJnzpzBlStXcObMGVgsFuzfvx8AUKVKFRQqVAjt2rVDjRo10L9/f8yYMQNxcXF46623MHz48PRW8Jdeegnz58/H66+/jueeew6//vorVqxYgR9//NFRZZMbMHuY0apCK9VlkGLMKNIrZhQxn0ivmE/EfCK9Yj4Zl8MapSZMmIAvv/wy/ed69eoBADZt2oRWrVrBbDbjhx9+wNChQ9G0aVMULFgQAwYMwJQpU9IfU7FiRfz4448YPXo05s2bh+DgYHz66adcKpSI8o0ZRUR6xXwiIr1iPhGRvTmsUWrJkiVYsmTJfe9Tvnz5LF0379WqVSvs27fPjpURETGjiEi/mE9EpFfMJyKyNw/VBRARERERERERkfthoxQRERERERERETkdG6WIiIiIiIiIiMjp2ChFREREREREREROx0YpIiIiIiIiIiJyOjZKERERERERERGR07FRioiIiIiIiIiInI6NUkRERERERERE5HRslCIiIiIiIiIiIqdjoxQRERERERERETkdG6WIiIiIiIiIiMjpPFUX4AyapgEA4uPj8/1cKSkpuHnzJuLj4+Hl5ZXv51PB6Ntg9PoBbsO9rJ9N62fVnTCfMuM2qGf0+gHmk73YM58A47+3jF4/wG3QA3vX764ZxXzKyujbYPT6AW7DvWzNJ7dolEpISAAAhISEKK6EiO4nISEBRYoUUV2GUzGfiIyB+UREeuZuGcV8IjKOB+WTSXODZvW0tDScO3cOhQsXhslkytdzxcfHIyQkBGfPnoW/v7+dKnQuo2+D0esHuA330jQNCQkJKFOmDDw83GtUMfMpM26DekavH2A+2Ys98wkw/nvL6PUD3AY9sHf97ppRzKesjL4NRq8f4Dbcy9Z8coueUh4eHggODrbrc/r7+xv2jWZl9G0wev0At+Fu7nR2727Mp+xxG9Qzev0A8ym/HJFPgPHfW0avH+A26IE963fHjGI+5czo22D0+gFuw91sySf3aU4nIiIiIiIiIiLdYKMUERERERERERE5HRulcsnHxwcTJ06Ej4+P6lLyzOjbYPT6AW4DOYYrvCbcBvWMXj/gGtvgioz+uhi9foDboAdGr99VucLrYvRtMHr9ALchr9xionMiIiIiIiIiItIX9pQiIiIiIiIiIiKnY6MUERERERERERE5HRuliIiIiIiIiIjI6dgoRURERERERERETsdGqft477330KxZM/j5+aFo0aLZ3ufMmTPo1KkT/Pz8ULp0abz22mtITU3NdJ/Nmzejfv368PHxQZUqVbBkyRLHF5+DChUqwGQyZfqaNm1apvscOHAAoaGh8PX1RUhICGbMmKGo2uwtWLAAFSpUgK+vLxo3bow//vhDdUnZmjRpUpa/dbVq1dJvv337NoYPH44SJUqgUKFC6N69O86fP6+wYmDLli3o0qULypQpA5PJhG+//TbT7ZqmYcKECQgKCkKBAgXQpk0bHDt2LNN9rly5gr59+8Lf3x9FixbF888/j8TERCduhXtgPjGf8stoGcV8Mg7mE/Mpv4yWTwAzyiiYT/rMJ8A4GcV8ckA+aZSjCRMmaLNnz9bGjBmjFSlSJMvtqamp2iOPPKK1adNG27dvn7Zu3TqtZMmS2vjx49Pvc+LECc3Pz08bM2aMdvjwYe3DDz/UzGaztn79eiduSYby5ctrU6ZM0WJjY9O/EhMT02+/fv26FhAQoPXt21c7ePCgtmzZMq1AgQLaxx9/rKTeey1fvlzz9vbWPv/8c+3QoUPaiy++qBUtWlQ7f/686tKymDhxolazZs1Mf+uLFy+m3/7SSy9pISEh2saNG7Xdu3drTZo00Zo1a6awYk1bt26d9uabb2oREREaAG3NmjWZbp82bZpWpEgR7dtvv9X+/PNPrWvXrlrFihW1W7dupd+nQ4cOWp06dbQdO3ZoUVFRWpUqVbTevXs7eUtcH/OJ+ZRfRsso5pNxMJ+YT/lltHzSNGaUUTCf9JdPmmasjGI+2T+f2Chlgy+++CLb0Fq3bp3m4eGhxcXFpV/30Ucfaf7+/lpSUpKmaZr2+uuvazVr1sz0uGeeeUZr3769Q2vOSfny5bU5c+bkePvChQu1YsWKpdevaZo2btw4rWrVqk6o7sEaNWqkDR8+PP1ni8WilSlTRps6darCqrI3ceJErU6dOtnedu3aNc3Ly0tbuXJl+nVHjhzRAGjbt293UoX3d29gpaWlaYGBgdrMmTPTr7t27Zrm4+OjLVu2TNM0TTt8+LAGQNu1a1f6fX766SfNZDJpMTExTqvdnTCfmE95ZeSMYj4ZA/OJ+ZRXRs4nTWNGGQHzST/5pGnGyijmk7BnPnH4Xj5s374dtWrVQkBAQPp17du3R3x8PA4dOpR+nzZt2mR6XPv27bF9+3an1nq3adOmoUSJEqhXrx5mzpyZqTvq9u3b0aJFC3h7e6df1759exw9ehRXr15VUW665ORk7NmzJ9Pf08PDA23atFH697yfY8eOoUyZMqhUqRL69u2LM2fOAAD27NmDlJSUTNtSrVo1lCtXTrfbcvLkScTFxWWquUiRImjcuHF6zdu3b0fRokXRsGHD9Pu0adMGHh4e2Llzp9NrdmfMJ+cyYj4BrpNRzCdjYT45F/NJPWaUcTCfnM+IGcV8sm8+eeb7GdxYXFxcpsACkP5zXFzcfe8THx+PW7duoUCBAs4p9o4RI0agfv36KF68OLZt24bx48cjNjYWs2fPTq+3YsWKWeq13lasWDGn1nu3S5cuwWKxZPv3/PvvvxVVlbPGjRtjyZIlqFq1KmJjYzF58mSEhobi4MGDiIuLg7e3d5ax7AEBAenvHb2x1pXd3//u93vp0qUz3e7p6YnixYvrdrtcFfPJuYyWT4BrZRTzyViYT87FfFKPGWUczCfnM1pGMZ+EPfPJ7Rql3njjDUyfPv2+9zly5Eimycr0LjfbNGbMmPTrateuDW9vbwwZMgRTp06Fj4+Po0t1K08++WT697Vr10bjxo1Rvnx5rFixwun/rMgYmE/MJ2diRlFuMJ+YT87EfKLcYD4xn5yJ+WR/btcoNXbsWAwcOPC+96lUqZJNzxUYGJhlVQDrzPqBgYHpl/fOtn/+/Hn4+/vb7U2bn21q3LgxUlNTcerUKVStWjXHeoGMbVKlZMmSMJvN2danujZbFC1aFA8//DD+/fdftG3bFsnJybh27VqmlnQ9b4u1rvPnzyMoKCj9+vPnz6Nu3brp97lw4UKmx6WmpuLKlSu63S49YT5lxnxyLiNnFPPJ8ZhPmTGfnMvI+QQwoxyN+ZSZkfIJMH5GMZ/yv11u1yhVqlQplCpVyi7P1bRpU7z33nu4cOFCene2yMhI+Pv7o0aNGun3WbduXabHRUZGomnTpnapAcjfNu3fvx8eHh7p9Tdt2hRvvvkmUlJS4OXllV5v1apVlXft9Pb2RoMGDbBx40Z069YNAJCWloaNGzfi5ZdfVlqbLRITE3H8+HH0798fDRo0gJeXFzZu3Iju3bsDAI4ePYozZ87Y9b1hTxUrVkRgYCA2btyYHlDx8fHYuXMnhg4dCkDeP9euXcOePXvQoEEDAMCvv/6KtLQ0NG7cWFXphsF8yoz55FxGzijmk+MxnzJjPjmXkfMJYEY5GvMpMyPlE2D8jGI+2SGf8j1Vugs7ffq0tm/fPm3y5MlaoUKFtH379mn79u3TEhISNE3LWDK0Xbt22v79+7X169drpUqVynbJ0Ndee007cuSItmDBAmVLhm7btk2bM2eOtn//fu348ePa//3f/2mlSpXSnn322fT7XLt2TQsICND69++vHTx4UFu+fLnm5+enmyVDly9frvn4+GhLlizRDh8+rA0ePFgrWrRophUy9GLs2LHa5s2btZMnT2q///671qZNG61kyZLahQsXNE2T5ULLlSun/frrr9ru3bu1pk2bak2bNlVac0JCQvr7HIA2e/Zsbd++fdrp06c1TZPlQosWLap999132oEDB7Snnnoq2+VC69Wrp+3cuVPbunWr9tBDD3E5YwdgPjGf8stoGcV8Mg7mE/Mpv4yWT5rGjDIK5pP+8knTjJVRzCf75xMbpe5jwIABGoAsX5s2bUq/z6lTp7Qnn3xSK1CggFayZElt7NixWkpKSqbn2bRpk1a3bl3N29tbq1SpkvbFF184d0Pu2LNnj9a4cWOtSJEimq+vr1a9enXtv//9r3b79u1M9/vzzz+15s2baz4+PlrZsmW1adOmKak3Jx9++KFWrlw5zdvbW2vUqJG2Y8cO1SVl65lnntGCgoI0b29vrWzZstozzzyj/fvvv+m337p1Sxs2bJhWrFgxzc/PT3v66ae12NhYhRXLezW79/yAAQM0TZMlQ99++20tICBA8/Hx0Z544gnt6NGjmZ7j8uXLWu/evbVChQpp/v7+2qBBg9L/0ZP9MJ+YT/lltIxiPhkH84n5lF9GyydNY0YZBfNJn/mkacbJKOaT/fPJpGmalv/+VkRERERERERERLbzUF0AERERERERERG5HzZKERERERERERGR07FRioiIiIiIiIiInI6NUkRERERERERE5HRslCIiIiIiIiIiIqdjoxQRERERERERETkdG6WIiIiIiIiIiMjp2ChFREREREREREROx0YpIiIiIiIiIiJyOjZKERERERERERGR07FRioiIiIiIiIiInI6NUkRERERERERE5HRslCIiIiIiIiIiIqdjoxQZ1ubNm2EymbB582bVpRCRm2IOEZGeMaOISK+YT2TFRikCACxZsgQmkwm7d+9Ov27dunWYNGmSuqLuWLhwIZYsWaK6DJskJiZi1KhRCA4Oho+PD6pXr46PPvpIdVlEhsAcso9vvvkG/fr1w0MPPQSTyYRWrVple7/ExERMnDgRHTp0QPHixWEymQyzjUQqMKPsw9aMOnToEHr06IFKlSrBz88PJUuWRIsWLfD99987t2AiA2A+2Yet+WRtUMvua8eOHc4t2gV4qi6A9GvdunVYsGCB8jBbuHAhSpYsiYEDB2a6vkWLFrh16xa8vb3VFHYPi8WC9u3bY/fu3Rg+fDgeeugh/Pzzzxg2bBiuXr2K//znP6pLJDIc5lDuffTRR9izZw8effRRXL58Ocf7Xbp0CVOmTEG5cuVQp04dnqkkygNmVO7ZmlGnT59GQkICBgwYgDJlyuDmzZtYvXo1unbtio8//hiDBw92YtVExsN8yj1b88lqxIgRePTRRzNdV6VKFUeV57LYKEVOpWkabt++jQIFCuT7uTw8PODr62uHquwjIiIC27Ztw2effYbnnnsOADB06FCEh4fjnXfewQsvvIDSpUsrrpKIXDmHAOB///sfypYtCw8PDzzyyCM53i8oKAixsbEIDAzE7t27s+xUEZEazCjRsWNHdOzYMdN1L7/8Mho0aIDZs2ezUYpIAeZTZqGhoQgPD3dCZa6Nw/coWwMHDsSCBQsAIFN3RKu0tDTMnTsXNWvWhK+vLwICAjBkyBBcvXo10/NUqFABnTt3xs8//4yGDRuiQIEC+PjjjwEAX3zxBR5//HGULl0aPj4+qFGjRpahbhUqVMChQ4fw22+/pddg7UaZ0zjklStXokGDBihQoABKliyJfv36ISYmJsv2FSpUCDExMejWrRsKFSqEUqVK4dVXX4XFYsl039jYWPz9999ISUm5798sKioKANCrV69M1/fq1Qu3b9/Gd999d9/HE1FmzKEMtuYQAISEhMDD48H/3n18fBAYGPjA+xFR9phRGRyRUdkxm80ICQnBtWvX8vR4InfBfMrg6HxKSEhAampqrh5DmbGnFGVryJAhOHfuHCIjI/G///0v29uXLFmCQYMGYcSIETh58iTmz5+Pffv24ffff4eXl1f6fY8ePYrevXtjyJAhePHFF1G1alUA0j2yZs2a6Nq1Kzw9PfH9999j2LBhSEtLw/DhwwEAc+fOxSuvvIJChQrhzTffBAAEBATkWLe1pkcffRRTp07F+fPnMW/ePPz+++/Yt28fihYtmn5f63C7xo0b4/3338cvv/yCWbNmoXLlyhg6dGj6/caPH48vv/wSJ0+eRIUKFXL83UlJSTCbzVm6oPr5+QEA9uzZgxdffDHHxxNRZsyh3OcQETkPM8o5GXXjxg3cunUL169fx9q1a/HTTz/hmWeesevvIHI1zCfn5NOgQYOQmJgIs9mM0NBQzJw5Ew0bNrTr73ALGpGmaV988YUGQNu1a1f6dcOHD9eye4tERUVpALSvv/460/Xr16/Pcn358uU1ANr69euzPM/NmzezXNe+fXutUqVKma6rWbOm1rJlyyz33bRpkwZA27Rpk6ZpmpacnKyVLl1ae+SRR7Rbt26l3++HH37QAGgTJkxIv27AgAEaAG3KlCmZnrNevXpagwYNMl1nve/Jkyez1HC3WbNmaQC0qKioTNe/8cYbGgCtc+fO9308kbtjDon85NC9cqr7Xrt27dIAaF988UWunp/InTCjhLMzasiQIRoADYDm4eGhhYeHa1euXMnV7yFydcwn4ax8+v3337Xu3btrn332mfbdd99pU6dO1UqUKKH5+vpqe/fuzdXvIU3j8D3KtZUrV6JIkSJo27YtLl26lP7VoEEDFCpUCJs2bcp0/4oVK6J9+/ZZnufuscjXr1/HpUuX0LJlS5w4cQLXr1/PdV27d+/GhQsXMGzYsEzjkzt16oRq1arhxx9/zPKYl156KdPPoaGhOHHiRKbrlixZAk3THtiy3qdPHxQpUgTPPfccIiMjcerUKSxevBgLFy4EANy6dSvX20RE2WMOEZGeMaPsZ9SoUYiMjMSXX36JJ598EhaLBcnJyXb/PUTugvmUf82aNcOqVavw3HPPoWvXrnjjjTewY8cOmEwmjB8/3m6/x11w+B7l2rFjx3D9+vUcJ+2+cOFCpp8rVqyY7f1+//13TJw4Edu3b8fNmzcz3Xb9+nUUKVIkV3WdPn0aANK7lN6tWrVq2Lp1a6brfH19UapUqUzXFStWLMtYalsFBgZi7dq16N+/P9q1awcA8Pf3x4cffogBAwagUKFCeXpeIsqKOUREesaMsp9q1aqhWrVqAIBnn30W7dq1Q5cuXbBz585Mc+QQkW2YT45RpUoVPPXUU4iIiIDFYoHZbFZShxGxUYpyLS0tDaVLl8bXX3+d7e33hkN2qzMcP34cTzzxBKpVq4bZs2cjJCQE3t7eWLduHebMmYO0tDSH1H43RwRFixYtcOLECfz111+4ceMG6tSpg3PnzgEAHn74Ybv/PiJ3xRwiIj1jRjlOeHg4hgwZgn/++Sfbg1ciuj/mk+OEhIQgOTkZN27cgL+/v+pyDIONUpSjnM4+Va5cGb/88gsee+yxPC8H+v333yMpKQlr165FuXLl0q+/t7vo/eq4V/ny5QHIZHyPP/54ptuOHj2afrujmc1m1K1bN/3nX375BQDQpk0bp/x+IlfCHCIiPWNGOZ91OoS8DA8icifMJ+c7ceIEfH19OUImlzinFOWoYMGCAJBl2d2ePXvCYrHgnXfeyfKY1NRUm5bptbZsa5qWft3169fxxRdfZFuHLc/ZsGFDlC5dGosWLUJSUlL69T/99BOOHDmCTp06PfA5spObZUTvdfHiRUyfPh21a9dmoxRRHjCHRH5yiIgchxklHJFR9w4hAoCUlBR89dVXKFCgAGrUqGG330XkiphPwhH5dPHixSzX/fnnn1i7di3atWsHDw82s+QGe0pRjho0aAAAGDFiBNq3bw+z2YxevXqhZcuWGDJkCKZOnYr9+/ejXbt28PLywrFjx7By5UrMmzcP4eHh933udu3awdvbG126dMGQIUOQmJiITz75BKVLl0ZsbGyWOj766CO8++67qFKlCkqXLp2l9RwAvLy8MH36dAwaNAgtW7ZE796905cRrVChAkaPHp2nv0NulhFt2bIlmjZtiipVqiAuLg6LFy9GYmIifvjhB4YTUR4wh0RucmjLli3YsmULANlpunHjBt59910AMsS4RYsW6fedP38+rl27lj7M+Pvvv0d0dDQA4JVXXsn1fBBE7oYZJRyRUUOGDEF8fDxatGiBsmXLIi4uDl9//TX+/vtvzJo1iz0RiB6A+SQckU/PPPMMChQogGbNmqF06dI4fPgwFi9eDD8/P0ybNi1Pdbo1dQv/kZ5kt4xoamqq9sorr2ilSpXSTCZTliVFFy9erDVo0EArUKCAVrhwYa1WrVra66+/rp07dy79PuXLl9c6deqU7e9cu3atVrt2bc3X11erUKGCNn36dO3zzz/PsmRnXFyc1qlTJ61w4cIagPSlOe9dRtTqm2++0erVq6f5+PhoxYsX1/r27atFR0dnus+AAQO0ggULZqlp4sSJWbYzN8uIjh49WqtUqZLm4+OjlSpVSuvTp492/PjxBz6OiJhDVvnNIevjs/uaOHFipvtal3rO7iu3SycTuTpmlHBWRi1btkxr06aNFhAQoHl6emrFihXT2rRpo3333XcP/B1E7ob5JJyVT/PmzdMaNWqkFS9eXPP09NSCgoK0fv36aceOHXvg76CsTJp2V587IiIiIiIiIiIiJ+B4IiIiIiIiIiIicjo2ShERERERERERkdOxUYqIiIiIiIiIiJyOjVJEREREREREROR0bJQiIiIiIiIiIiKnY6MUERERERERERE5nafqApwhLS0N586dQ+HChWEymVSXQ0T30DQNCQkJKFOmDDw83KutnPlEpG/MJ+YTkZ65a0Yxn4j0z9Z8cotGqXPnziEkJER1GUT0AGfPnkVwcLDqMpyK+URkDMwnItIzd8so5hORcTwon9yiUapw4cIA5I/h7++fr+dKSUnBhg0b0K5dO3h5edmjPKcz+jYYvX6A23Cv+Ph4hISEpH9W3QnzKTNug3pGrx9gPtmLPfMJMP57y+j1A9wGPbB3/e6aUcynrIy+DUavH+A23MvWfHKLRilrl05/f3+7HPT5+fnB39/f0G80I2+D0esHuA05ccfu18ynzLgN6hm9foD5ZC/2zCfA+O8to9cPcBv0wFH1u1tGMZ+yMvo2GL1+gNuQkwflk/sMPCYiIiIiIiIiIt1goxQRERERERERETkdG6WIiIiIiIiIiMjp2ChFRERERERERERO5xYTnRPBYgGiooDYWCAoCAgNBcxm1VURERERERERuS02SpHri4gARo4EoqMzrgsOBubNA8LC1NVFRMQGcyLSK+YTEekV88mlcPgeubaICCA8PHODFADExMj1ERFq6iIiiogAKlQAWrcG+vSRywoVmEtEpB7ziYj0ivnkctgoRa7LYpEeUpqW9TbrdaNGyf2IiJyJDeZEpFfMJyLSK+aTS2KjFLmuqKisgXU3TQPOnpX7ERE5CxvMiUivmE9EpFfMJ5fFRilyXbGx9r0fEZE9sMGciPSK+UREesV8cllslCLXFRRk3/sREdkDG8yJSK+YT0SkV8wnl8VGKXJdoaGyyp7JlP3tJhMQEiL3IyJyFjaYE5FeMZ+ISK+YTy7LoY1SW7ZsQZcuXVCmTBmYTCZ8++23mW7XNA0TJkxAUFAQChQogDZt2uDYsWOZ7nPlyhX07dsX/v7+KFq0KJ5//nkkJiY6smxyFWYzMG+efH9vw5T157lzuXyom2I+kTJsMCcbMKNICeYT2YD5REown1yWQxulbty4gTp16mDBggXZ3j5jxgx88MEHWLRoEXbu3ImCBQuiffv2uH37dvp9+vbti0OHDiEyMhI//PADtmzZgsGDBzuybHIlYWHAqlVA2bKZrr4dWBJRs0Zic/3isKRxMjx3xHwiZR7QYK4BOPifF7Ds8ApsPrWZGeWmmFGkBPOJbMB8IiWYT65LcxIA2po1a9J/TktL0wIDA7WZM2emX3ft2jXNx8dHW7ZsmaZpmnb48GENgLZr1670+/z000+ayWTSYmJibP7d169f1wBo169fz/d2JCcna99++62WnJyc7+dSxejbkKf6U1M1bdMmbefMUVr4sJKaxwRomCRfwbODtdWHVzuu4GwY/TXQNPtugz0/o3nBfNIPt9qG1as1LThY02RqTk0DtBuBJbQXBpZIzycVGeVWr4ENVOeTpqnLKHtvu9HfW0avX9OMn0+aZvzXwd71q84o5pN+GH0bmE/6oGIfytP5zWDi5MmTiIuLQ5s2bdKvK1KkCBo3bozt27ejV69e2L59O4oWLYqGDRum36dNmzbw8PDAzp078fTTT2f73ElJSUhKSkr/OT4+HgCQkpKClJSUfNVtfXx+n0clvW9DWhpw8SIQFyfz1F28CNy+DbzwgjSKL1uWgiJFgHnzUuDhIY3mTzwBVK0KnD8vXwEBQMmSmUfmrSlxAb1uzINWOvMyojHxMQhfEY7lYcvxdLXs31P2pvfXwBb23Aa9/R2YT+oYYRuuXpV8sn7duAF07AiUKQNs3Qrs3JmC6tWBDz+UjKpRA2jdGkhKAg4ckKkOSpcGvLt0ATp2hGnrViA2FlEp/6Lt6Smw3NOH2dkZZYTX4EFcOZ8Ax2WUI/PJ+jx3XxqNEeq/eRM4d072heLigGvXgDp1gIYNgdOngdWrU1CtmuSTyQQUKwb07SuP3bcP8PeXjPLTaT4Bxngd7sfe9evt78B8Ukfv25CcLNkUGyuXly4BpUoBnTsDFgvwwQcpqFpVLk0mwMtL8qlwYeDYMblPYCBQpHMXmJhPDqNiH0pZo1RcXBwAICAgINP1AQEB6bfFxcWhdOnSmW739PRE8eLF0++TnalTp2Ly5MlZrt+wYQP8/PzyWzoAIDIy0i7Po5JRtqFECbn86Se5LFJELh96KKP+48fly+re1UItmgXDDg+DhswNUgDSrxv+/XB4HveE2eS8OaaM8hrcjz224ebNm3aoxH6YT+oZZRuKFJGv/fvlCwCqV5fLypVlG27dAtaty3jMxYtZn8dSuCAGH16QZYcKUJdRRnkN7scV8wlwXEY5I58A47+3jFJ/gQLydeFCRgZVqyaX1nwCMudTbCxw9Gjm59FjPgHGeR1yYq/69ZZRzCf1jLANZrN0IgAyMqhqVbmsUiWj/qiozI87cSLzz8wnx3HmPpSyRilHGj9+PMaMGZP+c3x8PEJCQtCuXTv4+/vn67lTUlIQGRmJtm3bwsvLK7+lKuHMbUhLk8Yi6wFb585A06bA4sXAa69Ja7f1KzQUePllaUXfuFGuCwqSHk+ed71T71f/tWsSVnf3YggOBsq3/A2X/7x831ovpVxCoRr+aF2xpd3/Dvfi+ygz69kud8B8uj9nb0NcnPQO2L9fejoNGAAcOQI0aSKNTcHBstMUHAx8+KE8ZssWwMdH8ikgQL63ZRuSk+VMX2xsRj7dvAlMmAD8dtq2jPJ/xB8tyzs2o/g+yoz5ZJ98Aoz/3nJ2/fHx0rty3z7pUTB5soxTqVRJGrvLls3IobffBipUAA4elH2hgAC5rVAh27fhn38y92KIjQVGjACOJuknnwC+j+7lLhnFfHowZ25DcjJw6FDGMd7kyUDRosCzzwI//CD5ZD2W698faNtWMuXw4YzcKl4889RQ96s/NlZ6e96dUU88AVhCmE/2pmIfSlmjVGBgIADg/PnzCLpr2cbz58+jbt266fe5cOFCpselpqbiypUr6Y/Pjo+PD3zuPUoA4OXlZbc3hz2fSxVHbENqqrR8m0zAq69K41NCgtxWoQJQr15GV8xevTJ6QWWuC+jaNW/1lyolX/da9lc2XROy0a3fRTQu6IUmTaQBrUkTxy7Ox/dRxnPoCfNJPUdsg6ZJRnl5Ad98A4waJQ1DgDR+Dxggt9WsCfz9tyzgkt0CL088Ydvvu3cbvLyAunXl614Xb9mWUYPHXET7sl548kmgTRvAjieHs+D7KOM59MZRGeWMfHLE8zmbo+pPSZGcOHYM6NRJLgH5nD/6qOyPeHgA27bJAV92+yf16tn2u7Lbhpo15eteW23ch+o/7CIeL+WFJ56Q+u/pKGN3fB9lPI+eMJ/Uc8Q2WPNJ04AWLYCdO+U6s1mmKbh4UY7BZs8GPv9cemneq1w5+cpL/Tk91tZjvB7PXURoUS+EhspxprVXlqPwfZTxHLZw6Op791OxYkUEBgZi48aN6dfFx8dj586daNq0KQCgadOmuHbtGvbs2ZN+n19//RVpaWlo3Lix02um7CUkyAJ3zz4rLeK7d8v19esD//kPsGGDnOE7eRLo3VtuK1o0+wYpRwkqHPTgOwHo+1QQSpQAPvsMaN4c+PNPuf6ffwCuUus+mE+uIzUV2LwZGDMGeOghYO5cub5yZeC554DVq4FTp2R4y/vvy21ms+z45LTisCPYmlEPlw3Cxo3AU08BixbJddaeV+Q+mFGuQdOAv/4C3nsPaNwYsE6jU6YM0KEDsGSJ9HyKj5cc87iz116unGNPmN3L1nxq8kgQ/v1X5gB98UW57vZt6RmhZZ09gVwU88l1xMQAH38sjcwhIdI7ymQC2rUD5swBtm+X48ADB6RhCpBeUNk1SDmKrfnUMTQIt28DEyfKqJ3UVLn+wIGM70kdh/aUSkxMxL///pv+88mTJ7F//34UL14c5cqVw6hRo/Duu+/ioYceQsWKFfH222+jTJky6NatGwCgevXq6NChA1588UUsWrQIKSkpePnll9GrVy+UKVPGkaWTjYYMkZ2m5GTgkUfkZ2tPpT59lJaWSWi5UAT7ByMmPibbeaVMMCHYPxiLRobC7CET6e3enXHGsV8/Ca0nngC6dJGvsmWdvBFkV8wn1/fpp8Drr8vE5EFB8rl97DG5rWFD+dILWzPqx7clo/75RyYoBmTHcOZMoFEjOfvXpQtQq5ZzG9XI/phRrm33bqBHD2kUL1QIaN8e6N5dbitYEPjgA6XlZWJrPq26k08XLgDXr8ttv/4qB7SVK0s2de0qJ/0M3oHA7TGfXNutW9IbavduaQAPDZX9qZQUwNtbhgvrha359NWdY7ybN2XePE9PyakGDWSBh06dJJ/atZOfybkc2lNq9+7dqFevHurdObIfM2YM6tWrhwkTJgAAXn/9dbzyyisYPHgwHn30USQmJmL9+vXw9fVNf46vv/4a1apVwxNPPIGOHTuiefPmWLx4sSPLphwkJspwvEcflZ0oQHpDzZwp8zhZz/ZVqKCyyuyZPcyY12EeAAmnu1l/ntthLswecurRbJazltaDuqVLgalTJcheflnml7l34j0yFuaTa7FYZA6Dzp3l8wpIz6iXXwZ27ZLFDz7+GGjWTG2dOcltRj38cMYJgHHjgK++kt4T06bJSlvvvee82skxmFGuZe9e6T00apT8XKmSrNq5fr30Jl+1KqM3ud7kNp9Kl5b8BYDHHwd+/FGGG69YIT8/+aTzaifHYD65luho6UHUsqX0aixQQD6r//d/0si8aZP0OC9YUHWlWeU2n/z8MjodFC4M/P47MHSozIvVo4f0VL11y2nl0x0O7SnVqlUraPfpr2symTBlyhRMmTIlx/sUL14cS61HGKTEkSPARx8BX34pDVOdOsnS5oD0jDKKsOphWNVzFUauH4no+Izl+YL9gzG3w1yEVQ/L8bFVqgCjR8vXlSuyEmCjRnLbgAEyUd/QoXKgSMbAfHINFy/KcNtFi2QCzAYNMnoQtWwpX0aR14wqUUImEe3fX7J582Y54AWA+fOlAX3YMDnryd5TxsGMMr7bt4GVK4GFC4EdO+SE1ujRclvx4sCCBWrry4285pOvrzS+dewof4e9e+UEHyDfjxgh+dS9e9ZFI0i/mE/Gp2nSk3HhQuC776Qhqk8fya0CBYDp01VXaLu85pOHhxzPNWoEvPuuTDWzd69sf1IS0KqVZNOgQc6ddsYdueTqe5R/KSkSVt7e0kNo/XrpcTB4MFC+vOrq8i6sehieqvoUos5EITYhFkGFgxBaLjS99dwWxYvLRO2A/I2Cg6UH2dy5ciZw2DDpou7JTxeRQ2ianMXy8wO+/x6YNEl6GAwbJj05jSy/GeXjI8OArEqUkKHHrVrJfA/DhknjFbumEznOzZuST9HRwMCBMvR/zRrpyWnkfYP85pOHR+Zh02lpkll9+0oPshdekJOdRt7PJNI7az6lpQHPP58xXLhfP2PvG9jjGK9iRfkCZGjfQw8Bb74JvPWWLNA1bFhGpwSyLwP/a6RcsViAqCikxcTgAOIQlRSNgqcLonWl1pk+rOfOSQPL4sXAf/8rO1OzZgGffOI6Z7DMHma0qtDKLs9lMskwmbfflq73CxfKwXFMjBwM3r4tZwmJ6D5szKebN6Ur+cKFsoLdkiXyeXvqKdc6g2XPjOrdW3akNm2Sv9vIkbLD1bEj84nIJjbmU1qa9KJeuFDmKzl6VHpZnznjWnNQ2jOfGjYENm6UHvmLFknPsdRUYMYM6aXg7c3enUQPZGNG7d8vn7Hly+X7ypVl6FqZMq7zObNnPpUuLVMjzJolqwkuWiSLNvzxh5wcTUriPpQ9sVHKHUREyJFIdDQ8ADQAUNofGNlhLgY1Cca8DvPQKiAMU6cCH34oZ/H695c5lYCMeUsoZ76+coahXz/g7Fk5QL55U1rYn31W5nwpWlR1lUQ6ZEM+dakShk8/BaZMkbkNOneWzxogXayducqLEZlMMjfE449Lg7l1te2nn5azou++mzH/CxHdxYZ8erpaGDZsAMaPB/bty1h5OC1N5qd0pQYpR6leHZg3T07yJSfLdXPmyJ9/2jTJLiLKhg0ZVcMUhjfflLsGB2c+JmE+PVipUvI3e/XVjJWOd+4EwsOlp/7AgcbuAasXDp3onHQgIgIID4cWHZ3p6rLxwKoVQKMd0QhfEY5JKyKwaBHwxhty0PLRR7KTQLkXEiKXmiZjkD/4QOZ3mTmTE+cRZWJjPn2yNQKjRgFt2wLHjsncB23aqCnZ6MqWzVhKvmdPYNs2GdY3dCgQG6u2NiJdsTGfVh2KwCuvSOP4b7/JalXPPcfV5fKiUCGZIgGQFfpMJhn62L69zPNCRHexMaOGz4/Anj3Su/zkSRmK5kq9y53l7pMMQUGyIuGLL8rq86tXy3Ef5R0bpVyZxQKMHAlN03Bvr0zrCz9nPeCRpmHNrVH455gFkyYBRYo4uU4XVbCg9ED4918ZPvOf/+h3ZR0ip8tFPk3bPwonTlrw1VcZE3hT/g0aBPzzj8wb+M03MiTSuogFkVvLRT6NjRyFTZst2LqViwnYU/PmMjl8RIQMgWzQQHqiERFylVFHK47C4SMWDBjAHj32Ur48sGyZNJZXqCC9pubNU12VsbFRypVFRQHR0VnCysoDQLl4oPlpIDr+LI7ejnJmdW4jKEjmmDhyBJg8Wa6znvFjqzq5rVzk09n4sziWzHxyhAIFpEv6iRPA0qUyd2B8vNx2+7ba2oiUyUM+sTHK/kwmGWb811/At99KwzkgvfmJ3FouMiom8Sz+OM99KEeoV08WA/v1V5muBZBFLSj32CjlymwcixGUeOfuCRy74UhVqgB16sj3a9fK5RNPyGSDRG6H+aQrRYtKHgEy8SkgO1srVyoriUgd5pOueHrKghYmk0wxMW2aXD99esYcVERuhRmlK61by9BjTQPmz5frXnhB5kEl27BRypUFBdl0t9hCd+5e2Lb7U/5NmiSXt2/LEvaTJnHHitwM80m3nnxSLuvXl3mnevTgjhW5GeaTbpUtCxw4IN9Pny7Ls/PkHrkdZpQumUzAzz/L9xs3AjVr8uSerdgo5cpCQ5FcOhhpOXTuTANwxh/YWh4I8Q9BaLlQ59ZH2LxZVuxZvBi4fl11NUROFBoKSxDzSc/+7/9k6ejNm4FDh1RXQ+REoaHQygYj62wtgvmklnXu002bZJXD775TWw+Rs2nNQ3GjOPeh9Mg6b9fOnTLP4MKFnK7FFmyUclFJScBbE83oc0lmXbv3s5B253J0ByDNw4S5HebC7GF2ao0EeHvLMvfHjsmSoxcuyKTD7DVFrkzTgGUrzHgugfmkZyYT8MwzwKlT0jU9LQ145x3g4kXVlRE51p79Zoz2mAcNGXlkxXzSjzp1ZLXD//xHfv70U/aaItcXFweE9TCj/5V5MIH7UHpVujSwahXwww+yP/Xbb+w1dT9slHJBly4BDRsCM2YAdSaFIe2bVTAFB2e6T7Q/EN4T2NUkBKt6rkJY9TBF1RIgK/UBElhvv83u6OS6NA3o2xfo0wdI7hyGxC+YT3pnzafjx2V1mRo1uGNFrmvBAqBxY2BLyTCcmbUKHswnXfP2Bry8gNRUmQD90UdlURme3CNXtG2bDAnbtg3otzoMptXch9IzkyljHyoiQqZE6NmTJ/eyw4UhXYimyZu/RAmgfXvg66+B2rUBIAzo/hQQFYW0mBjsQxyWJUVjWItOaF2pNVvPdaRHD6ByZWDgQNmxeust+TLzJSIXYM2oFi1k+dywMAAIA/ozn4zgoYdkGN/QoRlzTS1aJJN7EhmdNZ8aNAAmTgTeeAPw8goDRjKfjMDTE9i+XXpzvvOOrID1v/8BtWqprowo/6z5VL269GCeMgUoWRIAwmQVAGaU7s2dCzRtCrz8spzc+/hj634wAewp5TIuX5aGqO+/l9B6/31rg9QdZjPQqhU8+vZF7Z4jEFqiFVqWb8mw0qH69aU7+htvyAozf/2luiKi/LFYgFdfBcaNk59feumef8TMJ8MICABWrwaWLZNJPJcvV10RUf4tXw60aydTHzRpIj2Wvbzu3Mh8Mgxvb2mQ+uMP+b/zzjuqKyLKvz//lBEUp04BxYrJHEXSIHUHM8oQTCagVy85uRcaCoweDdy8qboq/WCjlAs4dEi6mu/dCxQurLoasgfrjtXJk0DdutIt/dQp1VUR5d61a0DnzsCcObJqEhnf3TtWQ4fKdcePq62JKC/S0oA33wR695YGV05G6xrq15dJhj/9VH4+cUJeayKjWb0aaNZMGlk9eNTuEqwn93buBPz8ZD7hhATVVanHt7fBff+9dAUsUADYtQto1Up1RWRPgYFy+f770jhlXWaUyAiOHpUG8x07gPXrgZEjVVdE9hQYKA1U27YBVatKz04e1JNRxMcD3brJ4iIzZshQL19f1VWRvfj5Af7+8jo3bixDjm/cUF0VkW3S0mRutPBwObG3dStQrpzqqsheTKaMY7xnn5VjeXc/ucdGKQNLTZUhXk88IQcFFSuqrogcZehQ4LHHgI4dgdmzeeBHxjB7tvQq/+MPoG1b1dWQozRpIqtfjR8vk9izOzoZwY8/yuIiP/wAvPaaHCSQ6/H3Bz75RE6MPPYYcPq06oqIHuzkSWDmTODdd2V4sZ+f6orIUebMkaHjjRrJtAjuio1SBnTzJhATI5M6btokXQA5bM+1FSkCrF0rO85jx8pE6CkpqqsiykrTgH//le/nzpWJZx96SGlJ5GAeHjLp6ooVwLffylwJsbGqqyLKnjWfeveW3pwdO6qthxyvWzf5XxQfL6tT//676oqIsnf2LHD7tix69O+/MryYDeaurXp1OXnboIHMD71woeqK1GCjlMFER8vKVd27y8Ff6dIcY+wuzGYZHvN//ydDDDy5dibpTFKSNJjWqydj5AsUkAZVcg89esjBXkBAxhLIRHoyfz5QrRrw00/ys3X4BLm+WrXkwK9pU57IJX2KipL50CZOlJ+ZT+6jWDFg3TpgxAj3HUbO5gwDOXECaN5cDvYWLWLLubvq21eWETWZgF9+Ac6cUV0RkfTgfOop4JtvJJ9Kl1ZdEalQr57sWPn7y/CDTZtUV0QkJ/EmTgReeUW+OJzYPZUsKb3Oa9eW3ijLlqmuiEisWye59MgjwOuvq66GVPD0lGkvnntOfl66VE72ugs2ShnEP/9IDylvbzkTXbeu6opItdRUaVFv0UIaLIlUSUyUiTijomTHqm9f1RWRHkybBjz5pLwniFTRNJl/c8oUeU/OmcOexgSsWQP06SONlZynk1T69lsZYtqhg8x9VqKE6opItRMngOefl5O97jJPJxulDOLQIaB4cZmUMyREdTWkB56eshqft7c0TB09qroiclexsdJj7+efgccfV10N6cUHH8hOdrducgBIpEJSkqxcNXcuMG6c6mpIL3r3lkbKKVPkfcGGKVJlyxb5P7lyJeDjo7oa0oNKlWQxjqgooFMnOfnr6tgopXPnz8s/yqefBvbuBYKCVFdEehISIg2V/v5Ay5bSo47IWRIS5AzOQw8Bf/8tw4uJrHx8ZCe7WzeZbyoiQnVF5E40TfahfH3l/+TIkaorIr0ZN04aK2fOlEVk2DBFznT+vFzOmiVDtby81NZD+vL443Kyd88e6XV+44bqihyLjVI69s8/QJ06wLx58jO7m1N2goKAzZtlLhdOek/OcuOGrFrVp4/8zHyi7Hh5yc52v37c4Sbn0TRpZGjQQBrPmU+Uk5EjZQJ8Pz/VlZA7iYgAKlYEdu6UOWKZUZSd5s2lYapUKdefS5ofAZ06cUJaSIsX5/ws9GClS2esJhQfL19BZSyIOhOF2IRYBBUOQmi5UJg9zGoLJZdw6xbQtSuwfz8QGam6GtI7T09gyRL5XtOkV93DVZlP5DhvvSVzR82fz5XW6MGGD8/4/vBhoEYNwJLGjCLH+PFHoFcvICwMaNhQdTWkd02bZvQ0//dfGSXj6eV6+cRGKR2KjgaeeEKWU9+4UVpHiWz14vMWpBx7D4E15+Gw1xVElQfSPIBg/2DM6zAPYdXDVJdIBpaSAnTvDmzfLhNyNmmiuiIyko8+AsZ+vBLtGw9DgSuXEFsIiCoPlCnKfCL7eO894L//Bd5/P3NjA9GD/PUXUL+OBVNeeA8xt+bhoJn7UGRfGzfKPlSnTsD//geYjd2OQE50+zbwRCsLnqz5HjxLzcNBT9fKJzZK6dD06YDFIhPfcQ4pypWICHz222AUungZ+FOuOusPjOwAfFsjBuErwrGq5ypDhxaptXYt8MsvcqavRQvV1ZDR1L79Ov45NRMhBzKuO+sPjOoQjfB45hPlz9mzwLvvApMny/A9otyodSwCsYUGo+Qnl9Ov4z4U2UtaGjBmDNCqFbB8OYe0U+74rovAgVuDUWSDa+YTZ6DRodmzpUGKq+xRrkREQAsPh9/Fy5muLhsPrFoBdDssM3iOWj8KljSLigrJBXTvLquBtm2ruhIyGsuqVWg2dibKxme+vmw8sHIF8PRhjflE+RISIr1d3n5bdSVkOHf2oYoncB+KHMPDA9iwAVixgqvsUS7dyafCV1w3n9gopSPz58uEd15eQIUKqqshQ7FYZLZOTcvyobb+PHc9YErTcDb+LKLORDm7QjK4zZuBTz+V7x96SGkpZEQWC1JeGQYg646H9ec564GYa8wnyr24OGD8eCA5GahSxfUnhCU74z4UOZDFIis9xsUBAQGyYjaRzdwkn9gopRNr1wKvvCIz7BPlWlQUEB2NnPbDPQCUiwdCT8vPsQmxzqqMXMDJk0B4uHQ3T0tTXQ0ZUlQUfOMu5rjTcXdGMZ8oN5KSZMLgL78ErlxRXQ0ZEvehyIHGjQNmzZJJ9IlyzU3yiXNK6cChQ7LCXliYrBhDlGuxtgVQUOKdy8KcrIxsk5gIPPUUULQo8M030v2cKNdykVHMJ7KVpgFDhwJ79wK//QYEBqquiAyJ+1DkIF99JQ1S8+bJqupEueYm+cRGKcUuX5al1StVkrN8POCjPLFxRvy4QkCIfwhCy4U6uCByBWlpwLPPSk+pHTuAEiVUV0SGZWNGWQJKMZ/IZh98AHzxhRz4NW6suhoyLO5DkQPs3AkMHgw895yMhiHKEzfJJzaBKBYTAxQqBHz3nVwS5UloKBAcnONEGmkAzvgDW8oBs9vNhdmDa9DSgyUkABcvAkuXAjVrqq6GDO1ORmk59D+3ZtSTvRcwn8hmx44Br74K9O+vuhIyNFv3ocoDcztwH4psc/w40KwZsHAh57mjfHCTfGKjlGK1awP79nFic8ons1n6BgNZQss6BdDEziWgrV6Nw6uNuVQoOV+RIjIkpksX1ZWQ4d3JKBNMWRqmrBn1ZuBr+L+JPThvGdls/nxg+nTVVZDh2bAP9doTJVDo59UILcl9KLJNnz7AL79wpT3KJxvy6T8dSiBt5WoUizNuPrFRSpFdu4D27YFLlzhkj+wkLAxYtQooWzbT1bcCS+DwR5Px6f/O482wMOzYwcmq6f6uXwdatQL27GE+kR3dyShT2eBMVycHlYK2ciUGLJiB06dtnj6B3JSmAf36Af/7n/zMjCK7eMA+1JwF51H8fBj271dTHhnH3LnAiBGSVcwnsosH5NMXX59HqwA5xjMqzimlwO3bwMCBQIECMnkwkd2Ehcms1FFRcmQXFISCoaF4xCxdOSdOlAZ3diOm+xk7ViYOLlVKdSXkcrLJKN/QUMBsRhsAR44AXl6qiyQ9+/pr+QoPV10JuZwH7EP98w/zie7vn3+A8eOBIUO4r0129oB82rDB2PnERikFJk+WeRD27gU8+QqQvZnN0s0lG9b32y+/AEePAsOHO68sMob164HPPgMWLwbKlVNdDbmk+2SUl5fMw7FokQzL4llmultsrPRA6NMH6NZNdTXkkh6QTwkJwKRJwBtv8MQNZWaxAIMGSWeW//5XdTXkkh6QT2lpMqy9du0c76Zb3N1zsl27gBkzpMfKI4+orobc1W+/AaNGgd3QKZPr14EXXwTatgVeeEF1NeSuTp4E3n9fGqaIrDRNeh94e8uqe0Qq3Lwpq2XzpB7d64MPgO3bZUVQPz/V1ZC7Wr1aGkcTE1VXkjtslHKyf/4BHnsMGDdOdSXkzt5+G6heXYaRpqSorob04tQpmdz800/Z7ZzUadNGGh9ef10aqIgA6aFy5Yo0VpYooboaclcBAdITYeVK+SKyOnkSGDlSFksjUsHDA/j8c+D8eenNaSTKG6UmTZoEk8mU6atatWrpt9++fRvDhw9HiRIlUKhQIXTv3h3nz59XWHH+9O0LbN7MYXuklre3nMk5eJBdjO/H3fKpTh3gwAEO2yP1ZsyQhofnn+fCDDlxt3zy9we2bOGwPVLvmWeAp5+W3lIXL6quRp/cLZ8A6Sk1a5bqKsjdVa4MTJsGLFgAbNqkuhrbKW+UAoCaNWsiNjY2/Wvr1q3pt40ePRrff/89Vq5cid9++w3nzp1DWJjxljvctQsYPVomOeccGaQHDRrIZIxLlwJJSaqr0S93yKfr14FnnwWio5lPpA/+/jK32a5dwOHDqqvRL3fIJ02TeaS2bWM+kT6YTMBHH8l784cfVFejX+6QT4C8Fz77TL5nRpEevPwy0KKFDDU2Cl301/H09ERgYGCW669fv47PPvsMS5cuxeOPPw4A+OKLL1C9enXs2LEDTZo0cXapeZKWBgweLHOTsYcU6cnbb8tQUh8f1ZXol6vnEwBMmACsWQO8+67qSogytGkDnD4NFC+uuhL9cod8+vZb4MMPgTubQaQLAQGyYAzzKWfukE8xMbJi8eDBqishyuDhIf87ixRRXYntdNFEcuzYMZQpUwa+vr5o2rQppk6dinLlymHPnj1ISUlBmzZt0u9brVo1lCtXDtu3b88xtJKSkpB0V9eP+Ph4AEBKSgpS8jmBjvXxuXmelSvlH9eGDXJWRfUcPnnZBj0xev2AfrbBZJIGqX/+AS5dAh591PbH2nMbVP8d7sfV8+n0aWDJEuDNN4GgIOaTPRh9G/RUf+HCwOXL0kumQwfbH8d80l8+WZ/n7ssHSU2VFYs7dgQ6dWI+2QO3wX4KFwZu3ZLeUl272t5Lxt71q/475MTV8wkA3ntPGiYnTFCfT4B+Pht5ZfT6Af1sQ6FCsiLkb7/JkL6gINsfq2IfyqRpmpbv35YPP/30ExITE1G1alXExsZi8uTJiImJwcGDB/H9999j0KBBmQIIABo1aoTWrVtj+vTp2T7npEmTMHny5CzXL126FH5cDoFId27evIk+ffrg+vXr8Pf3V11OOuYTETGfmE9EeqbHjGI+ERFgez4pb5S617Vr11C+fHnMnj0bBQoUyFNoZdeSHhISgkuXLuU7rFNSUhAZGYm2bdvCy8vrgff/+WegVy85y1u9er5+td3kdhv0xuj1A/rbhj//lLHH8+cD/fvb9hh7bkN8fDxKliypqx2q7LhaPl26BNSqJcP2nn8+X7/abvT22cgLo2+D3uq/eROoWxdo1QpYvNi2xzCf9JdPQO5eF02TIXvly0tvTj3Q22cjL7gN9te7N3DoELB7tywk8yD2rt8IGeVq+QRI76jVq4G9e/UzDYbePhu5ZfT6Af1tw4IFwFtvATt3Ag8/bNtjVOxD6WL43t2KFi2Khx9+GP/++y/atm2L5ORkXLt2DUWLFk2/z/nz57Mdo2zl4+MDn2zSwcvLy25vDlufq3Nn4K+/gIoV7fJr7cqefw8VjF4/oJ9taNhQup5PmCA7VwUK2P5Ye2yDHv4GtnC1fAoKAvbvl7kx9PYS6OWzkR9G3wa91F+kiMx9N2yYLBhSu7btj2U+6S+fcvN8P/8MJCYynxyB22A/kydLLn3xhUwwbCt71a+Hv8GDuGI+vfceMGSIDJPSG718NvLK6PUD+tmGl14C5swBJk4EVq3K3WOduQ+luzUCEhMTcfz4cQQFBaFBgwbw8vLCxo0b028/evQozpw5g6ZNmyqs0jZHjsgk53pskCK617vvAufPS28pyp4r5dOpU8CNG0BwsP4O+Iju9fzzQJUqsmIoZc+V8un6dVkNtGBBaTQn0rOaNWUF23fekUZUysqV8knTZFVYDw+gQgXV1RDdn68vMGWK9Or74w/V1eRMeU+pV199FV26dEH58uVx7tw5TJw4EWazGb1790aRIkXw/PPPY8yYMShevDj8/f3xyiuvoGnTprpfmeHSJaBxY+ku9/rrqqsherAqVYBPPgFCQ1VXoh+umk+aBvTtKz1Q1q1TXQ3Rg3l5ybLbXME2g6vmEwDMmAEsWgScPQtwqhgygsmTZRqE3PQ0d2WunE+//AK0awfs2CHHekR6168fcOUKULWq6kpypnz3Ljo6Gr1798bly5dRqlQpNG/eHDt27ECpUqUAAHPmzIGHhwe6d++OpKQktG/fHgsXLlRc9YP9979y+dxzausgyo2BA+VS02RlPnfnqvn0/fcyz93PP6uuhMh2Tzwhl9aZMN09o1w1n2JjZajBqFFskCLjKFcOGDRIvuc+lOvmU1oa8MYbQLNmQKNGqqshso3ZLNMfAPrNJ+WNUsuXL7/v7b6+vliwYAEWLFjgpIryLzo6Y1KxkiVVV0OUO3v3Sov6pk0cNuGK+ZSWBrz5pkwg3Lat6mqIcic+HnjySTko6NJFdTVquWI+ATJPi68ve5mTMQ0fLsNOZ8xQXYlarppPERGyn7xliz4P7Inu58svZe67TZv09/7V3ZxSrmDRIlmFYdQo1ZUQ5V7FisDp0zKUj1zPr78CBw/KhId6+4dE9CD+/nKWb9481ZWQI1y7JjvMo0YBd81/TGQYRYoAH3/MuaVc1dy5QOvWnOqCjCkoCPjtN+D331VXkhUbpRygUiXgP/8BChdWXQlR7hUrBvTpIztVqamqqyF78/WVIQbcoSKjGj4c2LgR+Ptv1ZWQvSUmAt26AS++qLoSorwZMkTex0uXqq6E7C01FWjSBBg7VnUlRHnTpg3w0EOAHkfKslEqvywWYPNmYNkyubRY8NxzMrSAyKiGDpVhqD/8oLoSyrd7Mqp5Uws+/5y9pMi4wsNlaPyiRaoroXy7J5+Cgyz4+ms5m0tkROXLA507yzQe1vnvyKDuySdPkwXvvw906qS6MKK88fCQY7xVq2TFdT1ho1R+RETIWqCtW0vXktatcbVEEM7NX6W6MqJ8qV9fzgatWaO6EsqXiAho92TU7aAKkl1EBuXjA7zwAvDddzJHGhlUNvtQ10sFIWUF96HI2IYNAw4fBo4dU10J5Vk2+XSlRBASvmQ+kbENHCgrGett9W02SuWRac0aIDwcWnR0puuLXL+IwFd6YMcHnKGTjG3NGpnbgwwqIgJaePcsGeV9MRpaeHc2TJGhjRsHHDokZ/3IeHLahyp89SLMz3AfioytbVvgzBng4YdVV0J5kVM+Fb1+EQUHMp/I2IoVA/79N2O1UL3g7lxeWCwwjxkDTdNw7wgY6x+0zNszEXFwpbMrI7KbwEA54Lt6VXUllGsWC24OGwxNyxryHpAhBTeHD5au6UQGVLQo4Ocn+cQhMgbDfShycR4eMgQ1KQm4cUN1NZQrzCdyA2XKyL7TtWuqK8nARqk8KHH4MEwxMVnCysoDQLl4YPlHw2FJ40EfGdcnnwCVKwM3b6quhHJD27IFfucv5xjwHgD84i7D8ttmJ1ZFZF9//SU7Vjt3qq6EcoP7UOQOUlKAqlWBDz9UXQnlBvOJ3MWzzwK9eqmuIgMbpfLA18auI+bzFxF1JsrB1RA5Tps20oq+fLnqSig3jh7abNv9Dtp2PyI9qllTGqX0uIoM5Yz7UOQOvLxkOqJFi9gp2UiYT+Qu2rQBfv5ZhvLpARul8uB2sWI23S+2EBCbEOvgaogcp2JF4MkngY8/Vl0J5UZsYRvvV8ixdRA5kocH8NJLwDffcJixkXAfitzFsGHA6dPAhg2qKyFbMZ/IXfTsCRQvLqNi9ICNUnlwuUYN3A4siZwW/UkDcMYfiCoPBBXmusZkbH36AH/8AcTEqK6EbOUR2hJn/fHAjDK3bOXEqojsr3dvIDkZWL9edSVkK+5Dkbto2BCoUgX49lvVlZCtmE/kLgoUAMLC9JNPbJTKC7MZHnNlkPi9oWX9eXQHoGzREISWC3VqaUT29uST0pJ+6JDqSshWzSu0xJSwEgByzqh3w0ogtGIrJ1ZFZH/BwUDjxsDx46orIZtxH4rchMkEdO0qvaXIIJhP5Ea6dpXFGC5dUl0JG6XyzBTWHX/Mew0x/pmvj/YHevQE1tQwYW6HuTB7mNUUSGQnxYsDFy4A7dqproRsZfYw48nXF6NHT+SYUR1eX8x8Ipfw++/AW2+proJyg/tQ5C5mzGBPTqNhPpG76NgROHsWKFlSdSWAp+oCjKzJiBn4v8aP4tNZwxCUdgmxhaQ7Z9miIVjVYS7CqoepLpHILsxmICEB8PYGfHxUV0O2CKseBkxajYfKj0CTCzEISpQ5EE7VCsbsjvOYT+QyzGYgNVXO9hUporoaslWTETMQFvMorp0ahgAL96HINZnNsvT6lStAiRKqqyFbNRkxA28VfRRbvx+GII35RK7JfKdd9fJl9fnERql88jzZA7+tCsOKnVFI9Y3FpMJBCC0XytZzcilxcUD58jKhcLduqqshWzUpEoak95/CYx9H4ZEmsQhiPpGLatgQaNUKmDtXdSWUG4e/64HHQsPQ/80oxCZwH4pc0+jRwObNwP79qiuh3Li0rQei/wzDxJ+jEJfIfCLXFBEhk57HxantMcVGqXxauxaoX8+MHo+2Ul0KkcMEBgKVK8v7nY1SxvHDDzKUb2z3ViheXHU1RI7TrJnk05w5Mo8L6d/Ro/I1c6YZrSq0Ul0OkcM0awbMmydzS5Uvr7oaskVaGvD990CvXma0rthKdTlEDtOsGWCxAOvWAc8+q64OzimVTwMGABMnqq6CyPG6dpVGDotFdSVkq2bNgA8/BBukyOV17QqcPMkFGYykWDGZb+eJJ1RXQuRY7dsDXl7SyEHGYLEA774rx3lEriwwUBaMWbtWbR1slMqn9u1lZ5jI1XXtCly8COzcqboSstUjjwBDh6qugsjxWrcGChVSv1NFtitdGnjtNcDPT3UlRI5VpIgML2Y+GYeXFzBoEFC7tupKiByva1fg55+BpCR1NbBRKh+++krGYRK5g8aNgbJlgd27VVdCtti2DZg1iz3byD34+AAdOgB//qm6ErLFtWvA+PEyhwWRO+jaFfj7byA5WXUlZIt33gH27FFdBZFzWDvYHDigrgY2SuXDokXA6tWqqyByDrNZ5kMYMUJ1JWSLH34AZs/OWFmDyNUtXy6LMZD+7d0LTJsmq7oSuYOhQ2UfyttbdSX0ILduAZMmSU4RuYOaNYHr14FHH1VXAxul8ig1VVbRaNBAdSVEzmNd2ljTVFdCD7JnD/OJ3Iu1AZb5pH/79wP+/rKABpE7MJtlEQbmk/799ZdMdM59KHIXJhPg4aE2n9golUfHjklLOgOL3Mnu3UCJEsDx46orofvRNDZKkftJTQUqVQI++0x1JfQg+/cD9evLTjCRu+jXDxg4UHUV9CD790uPtkceUV0JkfMsWAA8/LC638/dgTyydumsV09tHUTOVKECcPUq55XSu7NngcuX2ShF7sXTUybNZj7p3969zCdyP0WLcrEYI9i3D6hVi0Mtyb0EBAD//qturkc2SuVR+fLA2LHS/ZzIXZQsCZQrx8kf9c5kAoYNUzs2nEiFBg2YT0YQHg506qS6CiLnatAA+OcfIDFRdSV0P82aAS+8oLoKIueynihStQ/lqebXGl/z5rIENZG74UGf/oWESDdcInfToIFMeM4VrvRt0iRZcp3InTRoIMPrVa5wRQ/Wvz/zidxPhQpAsWJyjNeunfN/P3tK5dG6dbKkMZG7adBAhl5wsk792rIFOHNGdRVEzteggTRI/f236krofv76S3UFRM5Xowbg6yvDw0i/oqJkjkIid2Iyqe14wEapPOrdG/jzT9VVEDnfCy/wgELvBgwAvvhCdRVEztewIXDokCxvTPo1frzqCoicz9NT5rzj0DB9CwuT1feI3M2iRcCSJWp+N4fv5QMnOSd3FBAglykpauugnF25wkmEyT35+EhvBOaTvtWtq7oCIjVq1mQ+6V2NGpzknNxT5cpyqSKj2FMqj0JCOMk5ua/hw4GlS1VXQffDpYzJXX30EfD226qroOxY5/qqXl1tHUSqbNkCPPOM6irofmrUUF0BkRoXL0pPQRXz3rFRKo+CglRXQKTO9u3Arl2qq6D7YUaRuzp2DPjpJ9VVUHasS00zn8hdXbsGrF+vugq6H+YTuSsfH2DNGtmPcjY2SuVR7dqqKyBSp0wZIDZWdRWUk4YN5R8LkTtiPunXzZtyWbas2jqIVClTRnUF9CDWIUxE7qZwYaBgQTX7UGyUyqNZs1RXQKROUFDGGW/Sn40bVVdApE5QEJCYqLoKyk61anJZtaraOohUYS8c/evbV3UFRGqYTJJR5887/3ezUYqIcq1MGTZKEZE+sSeCflksqisgUisgQA78SH+44h6Rut7mbJTKJesknatWqa2DSKXOnYFx41RXQTkZM0Z1BUTq1KgBTJ2qugrKznvvqa6ASC1PT2DaNNVVUHY2b5bLmBilZRApNXIk0LOn838vG6VyydqdrVgxtXUQqfToo8CgQaqroJwUKaK6AiJ1AgKAYcNUV0HZYQ9bIuCll1RXQNmx5lPJkmrrIFIpLAxo1875v5eNUrnElWOIgIQEYOVK1VXQvTRNLgMD1dZBpNq6daoroOywUYoI2L1bdQWUHWvHAy4UQ+7s5Elg2TLn/142SuWSdYcqIEBtHUQqXb8OvPCC6iroXteuySUbpcjd/ec/qiug7LBRigj48kvVFVB2uGorEfD772p6c7JRKpesrejFi6utg0glNsrqkzWfSpdWWweRamyY1ScVK/oQ6Q33ofSJ+USkbjSYYRqlFixYgAoVKsDX1xeNGzfGH3/8oaSOHj3kkitnqGFJScaBFR8g4afFOLDiA1hSklWX5JY8kIyWAXwdrPSST5UqyWX9+kp+PYEZpQeWlGRU1fga3E0vGbVxo5JfS3cwn9SzpCSjcAxfg7vpJZ9mzFDya+kO5pM++Hgn47ESCl4HzQCWL1+ueXt7a59//rl26NAh7cUXX9SKFi2qnT9/3qbHX79+XQOgXb9+Pd+1JCcna99++62WnJyc7+dSxajbsH3ea1pMEbOmydQ5mgZoMUXM2vZ5r6kuLdeM+hpommNeB3t+Rp2N+WRfRt4GV8kovgaZGTmfNC1/GWXvbTfye0vTjF2/q+STphn3dXDUa2DkjGI+2ZdRt4H5pA/b572mRSvahzJET6nZs2fjxRdfxKBBg1CjRg0sWrQIfn5++Pzzz51ey48/Ov1XEoAdH7yORiNnIvC6JdP1gdctaDRyJnZ88LqiytwLX4es9JRPx47JJedtcT5+NtTja5A9PWXUkCFO/5UEfjb0gK9B9vSUT7NnO/1XEvjZ0Avr6xCk6HXQfaNUcnIy9uzZgzZt2qRf5+HhgTZt2mD79u1Or+evv5z+K92eJSUZ5SbIf4p737DWn0MmzmY3Twfj65CV3vLpwgW5vHHD6b/arfGzoR5fg+zpKaM0DVi+3Km/ksDPhh7wNcienvIJAH791em/0u3xs6EPengdPB32zHZy6dIlWCwWBNwzK2BAQAD+/vvvbB+TlJSEpKSk9J/j4+MBACkpKUhJSclXPZqWkv5cRmWt3SjbcGDFh2hwT6vt3TwAlL1mwZ4VH6J2zxHOKywfjPYaAI59HYz0d7ib3vIpNdX6+BQY9E/Kz4YO8DXIzEh/h3vlNqMcmU9paUCBAsZ7b92Nnw19MNrr4OjXwCh/h3vpKZ8AwMPDWO+r7PCzoZ7RXgNAH/tQum+UyoupU6di8uTJWa7fsGED/Pz88vXcderIZWRkZL6eRw+Msg0JUb+igQ33OxL1K6ILVXF4PfZklNcAcOzrcPPmzbwVZUCOzCero0cjcfSoXZ5KGX421ONrIJhP9ssn64gcI723smOk+l01nwDjvA6Ofg3cJaMcnU8vvSSXRnlf3Y9RtoH5pA962IfSfaNUyZIlYTabcf6edTrPnz+PwBzWfB4/fjzGjBmT/nN8fDxCQkLQrl07+Pv756ue2bNTUK1aJNq2bQsvL698PZcqKSkpiIw0zjYcSPwX+HjdA+9XPfRx1O7Y0QkV5Z/RXgPAsa+D9WyX0egtn7ZvT8HVq5GoWLEtqlc3xvvqXvxsqMfXIDOj5hOQ+4xyZD4BQNmyKfjkE2O9t+7Gz4Y+GO11cPRrYNSM0ls+hYen4LnnjPO+yg4/G+oZ7TUA9LEPpftGKW9vbzRo0AAbN25Et27dAABpaWnYuHEjXn755Wwf4+PjAx8fnyzXe3l55fvN0aQJcO2afZ5LNaNsQ92er+Dc8HEIvG7JdhK0NACxRc2o2/MVmA2wPXczymsAOPZ1MMrf4F56y6dy5YCrV4GSJY3zvsoJPxvq8TUQRvkbZCe3GeXIfAKAESPs+3yqGKl+V80nwDivg6NfAyP8DbKjt3zq3t2+z6eSUbaB+aQPetiH0v1E5wAwZswYfPLJJ/jyyy9x5MgRDB06FDdu3MCgQYOcXkuzZk7/lW7P7OWNM1PkzEjaPbdZfz47eQzMXt5Orcvd8HXInp7yqWxZuSxVyum/2q3xs6EeX4Oc6Smjxo1z+q90e/xsqMfXIGd6yqfevZ3+K90ePxv6oIfXQfc9pQDgmWeewcWLFzFhwgTExcWhbt26WL9+fZaJ8ZzBurqVpjn9V7u1JiNmYAeAchNmo8xdE7HFFjXj7OQxaDJihrri3Ahfh6z0lE/W+T8vXMhooCLn4GdDPb4G2dNTRu3c6fRfSeBnQw/4GmRPT/l07JjTfyWBnw29sL4OIW/PRtl4578OJk1z/eaV+Ph4FClSBNevX8/3mOPVq1Pg6bkOTZp0RECAMbrk3SslJQXr1q1Dx44dDdOt0MqSkoz9Kz7EkahfUT308TvdCI3Xem7k1wAAUpOTsXnxh4g7aJ/XwZ6fUaOx57afP5+CHTvWITW1I7p3N977CjD+Z8MVMsoVXoOtn3+Is/uYT/ll721v2DAFb79t3PeWK3w2jJ5PgLFfB0tKMnZ89SFO7rLfa+CuGWXv7R41KgWtWxvzfWVl9M8G80m9m4nJiPrsQ1w84tx9KEP0lNKTwEDg0iUgLg5Q0Ijv9sxe3qjdcwSiC1VB7Y4dDTe+2FV4enuj5ZARWLeOr4OeFCsml7GxautwZ8wo9cxe3mj2HPNJj3JY/4GchPmkntnLG42eHYFLJfka6E1QkOoK3BvzSR/8Cnnj8WHO34cyxJxSemLdoYqLU1sHkUrbtgHPP6+6CrqXySSX9yxkQ+RWEhKAZ59VXQVlh41SRMAbb6iugLJj7WyQnKy2DiKVFi8Gpkxx/u9lo1QuWQOLPRHInR04AKxZo7oKygnzidxZTAzw3Xeqq6DssFGKCFi9WnUFlB12PCACfv0V2LXL+b+XjVK5ZF2J1IN/OXJjsbFA6dKqq6CcFCqkugIiddgoq1+VK6uugEit1FTg4kXVVVB2rAvE3Lyptg4ilWJj1UxRxKaVPOKyoeTOzp3jGW89mzlTdQVE6pw7p7oCykm/fqorIFLr/Hmu4K1X1aplviRyR+fOqZlfjY1SecR/KOTOYmPZKKVnzCdyZ7Gx7C2od8woclfsyal/zCdyV5rGnlKG07Gj6gqI1BkwgBMJ61lAACfqJPfVvDkwYYLqKig71l5smzcrLYNImYAAYNIk1VXQ/bz7ruoKiNRISwPeeQdo0cL5v5uNUnkUHa26AiJ1evRgw6yeJSXxbCy5ryZNgCFDVFdB2SlRQi6ZT+SuQkKA0aNVV0H3w3wid2U2Sz7Vru38381GqTw6e1aWnSZyN9evA199BVy7proSup9Dh1RXQKTG0qXAyZOqq6DsWBeL+ftvtXUQqfLLL8Aff6iugu7nyBHVFRCpceiQrK6uYggrG6XySNOA/ftVV0HkfDt3yvC9S5dUV0I5KVoU2LNHdRVEznfzJtC/P/Dbb6orofvh/hO5qwkTgI8/Vl0F3c+hQ5wCgdzT118Dw4cDJpPzfzcbpfLI1xfYvVt1FUTOt2cPULgwUKmS6kooJ/XqMZ/IPf35p8yJULeu6krofvbt42TC5H5SU6VBlvmkb0lJ7G1O7mnPHqBBAzW/21PNrzW+bduAypVVV0HkfNbA8mCTtm7Nnw+UKqW6CiLn27MH8PYGatTImFSb9GfvXjVnYolU+vtv4NYtoH59mQqB9OnPP4EqVVRXQeRcmib7UK+8oub387AyjypXBry8VFdB5HwqW9HJNsHBQKFCqqsgcr49e4BataRhivSLjebkjqzD6lVMIky2q1CBjebkfs6cAS5fVneMx0apPNq7F2jVipOdk3tJSZEzfK1aqa6E7icxEejcGfj1V9WVEDlXSAjQrZvqKuhBxo8HZs1SXQWRc/n5AT17yhQIpF9ffy1zpxK5k8REoG1bNkoZjo+PTKS6b5/qSoicx8sLWL1aGjxIvwoWlCHGW7eqroTIuaZMAd56S3UV9CBnzwI//qi6CiLn6tED+OYb1VXQgyQkAMuXc7Jzci81awIbNgBBQWp+Pxul8qhqVZnsnCtckTs5cwa4dk11FfQgJpOc6WA+kTu5cgWIjuYE2kZQt670OOdrRe7CYgGOHJFL0re6daVBipOdkzv55x/g9m11v5+NUnnk6QnUqcODPnIvY8ZwaIxRsFGK3M3SpbIqKM9u61/dujLR8/Hjqishco4jR2QBhqgo1ZXQg9SuLYv5cB+K3IWmAc2aAdOmqauBjVL50KQJsGULz/SRe0hLk+FgTZqoroRs0aQJEBMDnDihuhIi59iyRea88/FRXQk9SP360qNzyxbVlRA5x5YtckK7fn3VldCD+PnJghnMJ3IXR47IJOcqj/E81f1q4xs8GHjySWmU4ioN5Or++AM4f57zSRlFmzYyWWfp0qorIXK8pCRgy274GwAAyglJREFU/Xrg9ddVV0K2KF4cWLYMaN5cdSVEzrF2LdCyJeDvL4vGkL7NmgWUKKG6CiLnWLtWGmNVLmTFRql8qFFDvojcwdq18g+6aVPVlZAtChUC+vRRXQWRc/z2m0xO27Wr6krIVs88o7oCIueIj5fVcN9/X3UlZKsnnlBdAZHzrF0LtG8v82WrwuF7+fTLL8CoUaqrIHK8y5eBp58GzGbVlZCtjh+XZY2vXlVdCZFjRUfLPCC1aqmuhGyVlCTzFG7erLoSIsc6fhwICAC6dFFdCeXGogUWfDtqs3Tr3LyZs9STS0pOlv/Hqk/qsadUPl24AMybB7z2GlC2rOpqiBzn4485f5rR+PgAX30FdOgA9O6tuhoix3nuOWDQIA6lNwyLBd7bf4e2LBZ7jgWhVWgoz3iQy6pXT1YvZj4ZSEQEeo4bieI3ojOuCw6Wg76wMHV1EdmZt7dM6q/6GI+NUvn05JOAh6cFs1ZH4dHWsQgqHITQcqEwe3DnilzHuXMyN5EnE0P/LBaYfvsNuHgRwUFBaFCvGT75ZRvwCPOJXNPVq5JNhQurroRsEbR9OzyHD4cpJgZzAOAH4HZwKex6vS8sTz/FjCKXYrHIfJxlyqiuhGxlWrMG6NULxe45StdiooHwcJhWrWLDFLmMs2elvVV1ozmH7+WWxYISf/0F0/LlwObN2BSzEl6vVsCcq63RJ6IPWn/ZGhXmVUDEkQjVlRLZTf/+QK9eqqugBzGtWYN2gwfDs21bmVCqdWt8d9wPRROZT+S65s8HKlfmyAojMK1Zg0enT5elQe/iHXcRj42Ziw/GMaPItWzbJiMpDhxQXQnZxGKBecwYQNNw7zG6SQM0TcPN4YP5D4dcwq1bQLVqwIIFqitho1TuRETAs0oVNH/7bXg++yzQujUefawnOp6IznS3mPgYhK8I504VuYSrV2USYU76qHMRETD36gXfy5czXR0Ub8GqFcDTh+Vn5hO5mrVrgdatOfpL96wHe0CWgz3rzujc9UDstWhmFLmMtWtlPqlHHlFdCdmixOHDMN3TaH43DwB+cZex5f/ec15RRA7y66/AzZv6OMZjo5StIiKA8PAsZ/fKxiPTAR8AaJDunqPWj4IljS3pZGzr18sJIU7QqWMWCzByZLZn9u4+2PNIYz6Ra4mJAXbvVj9BJ9kgKgqmmJgsGWXlAaBcPND8tPzMjCJXsHat7D958IjLEHxtXBlmxS/zmE9keGvXAlWqSG8p1RiRtsjFAZ+VBg1n488i6kyUs6okcohly4CGDWW8MelUVBQQHf3Ag73QOwd7zCdyFd98A3h5yfyOpHOxsTbdLSiRGUWuYe9e4J9/gG7dVFdCtrpdrJhN9ztovsJ8IkO7fVv63HTrpn4+KYCNUra5c8CXk3sP+O4Wm2DbThiRHiUlSU+EwYNVV0L3lYuDvUwPYz6RwR0/DjzzDFC8uOpK6IGCgmy6W2yhu75nRpGBHTwoPRDat1ddCdnqco0auBFQHGk53J4G4Iw/EFWe+UTG9s8/svLeCy+orkRwLS1b5PGADwCCCtu2E0akRz4+MjQmLaf/zqQPeTjYA5hPZHwLFnC+WcMIDYVWtiyQwxC+NADRdw72rJhRZGTPPgv07cv57gzFbMa/b7+MWi9PQRoy996w7gqP6gCkeTCfyNhq1wbOnNFPPrGnlC3ycMBnggkh/iEILRfqoKKIHCspCdizR7p06iWwKAehoUBwMLQc+t/efWYPYD6Ra/jjD2mQYj4ZhNkMy+zZAJAlq+492GNGkdH99ReQkMB8MqKqL4zHkIElEOOf+fpofyC8J/BtDeYTGdvZszIITE/5xEYpW9w54MtpwOW9B3zWdWXmdpgLs4eOXm2iXFi9WuaSOnFCdSX0QGYzMG8eANyZxjzDvQd70JhPZHxnzgBNmwJffaW6EsoN7emnsWvcOKBMmUzXWw/21tSQBimAGUXGlZYmayO9/LLqSigvzB5mPPn6YlQcBbQeAPTuDrQaAFQcJQ1SAPOJjO2dd4DmzfU1EoaNUra4+4DvnoapO8d3GQd8AHySgrGq5yqEVQ9zZpVEdrVwIfD440ClSqorIZuEhcGyfDlulyiR6erYoub0gz0AMCUE4+unmE9kbIsXAwULAj16qK6Eciu2aVOk/vsvsGkT/pg5Cj2GlUTFURkZVcqH+1BkbL/+KvO16GWuFsq9sOphWNFrNf6tE4zltYDfKspxnj+YT2Rs164BX38NPP+8vlYF5ZxStgoLA1atAkaMkJmf7zAFhyBt9myMaFgSPRJiceN8ENpVDUW5ELaek3H9+Sfw++/ylifj0J5+Ghs8PdHJ3x+eFy8CQUEIfKwZRsRsQ4+EWHgnB6G8KRQN6zKfyLiSk4FPPgEGDAAKFXrw/UmHzGagVSs0atUKy9PeR9SZKMTEx+Lc0SCM7BYKby9mFBnXwoXAI49ITwQyrrDqYXiq6lOIOhOF2IRYXDgRhIGtQ1HEn/lExvXVV7IfpbdGczZK5UZYGFI7dsTO999Hk/Ll4RkSAoSGwmw2o5X1PrXkQtP0sbwiUV589JGMrujaVXUllGtmM7SWLQEvL/kRQKsKrTLdRbszxo8ZRUYUEQFcuAAMHaq6ErIHs4c5I6NqywX3ociooqOB774D5s/ne9gVZMonHuORwWmaNJqHhdk8ZbbT6KjTlkGYzbhcqxa0Xr2AVq2ynSEsMhKoXh1IzGY1PiIjKFMGeO219HYNciHnzgF16gDbtqmuhChvvL2l23mNGqorIXvTNNlZnjpVdSVEeXP1KtChA9Cvn+pKyBFmzAC6dVNdBVHeJCQAjz6qz/nu2CjlAFWryuTQH36ouhKivJkwARg1SnUV5AiBgUBqKjBliupKiPImLAz49FPVVZAjmExA6dLA7NlAfLzqaohyr1Yt4McfgcKFVVdCjlCuHLB2LU/skTH5+wP/+5+s4aY3bJRygHLlgJdeAqZPB65cUV0Nke3OnwcmTZKWdHJNHh7Au+8CGzbIZKxERqFp0mB+6pTqSsiR3n4buHEDeP991ZUQ5c7ixcDWraqrIEfq2VN6m7/xRsZUCERG8OuvwJIl+n3fslHKQd56S3ojsAs6Gcm778pCk6mpqishR3r6aaBRI+5UkbFERMgyxmyUcm1ly8qaMrNny4kSIiOIjgZGjgR++UV1JeRIHh5ybBcVBaxbp7oaItukpQGjR0ujlF4pbZSqUKECTCZTpq9p06Zlus+BAwcQGhoKX19fhISEYMaMGYqqzZ3SpYGxY4Fdu+SNQKR3J04AH38MjBsHFCumuhp9cNWMMpmAadOA2Fjg7FnV1RA9WGoq8OabQPv2Mp0juW4+AfJ/qGhR2YciMoJJk2Q10DFjVFeiD66cTx06yP+hnTtVV0Jkm6VLgQMHZN9fr5P0K199b8qUKXjxxRfTfy581yDs+Ph4tGvXDm3atMGiRYvw119/4bnnnkPRokUxePBgFeXmyptvyj8pvb74RHebMAEoWVLOUFMGV82o1q2B48dl0mgivVuyBDh6FFi2THUl+uKq+VS8uJwoYT6REfz9N/DFF9K7z99fdTX64ar5ZDIBP//MfCJjSE6WYfHdugFNmqiuJmfKG6UKFy6MwMDAbG/7+uuvkZycjM8//xze3t6oWbMm9u/fj9mzZ+s+sICMsNq6FQgIAB56SG09RDk5flxa0T/6CPDzU12Nvrh6Rp08KcOhWrdWXQ1R9iwW4L33gF69gHr1VFejL66eT/HxMv9deLjqaohyNnUqEBIi88lSBlfPJ4sFWLFCFt/w8VFdEVH2vv4aOHNGFmDQM+WNUtOmTcM777yDcuXKoU+fPhg9ejQ8PaWs7du3o0WLFvC+qym6ffv2mD59Oq5evYpiOYwxSkpKQlJSUvrP8XeWcElJSUFKSkq+6rU+3tbnSU2Vpavr1gX+7//y9avtJrfboDdGrx/Q3zaUKwds3gw0bAjYWpI9t0Evf4fs2Duj9JRPADB5ssyNsG8fUKBAvn69Xejts5EXRt8GPda/fr0cBDCfMjNSPlmf5+7LB1m5EnjlFaBSJVnVTDU9fjZyi9tgf7NmyckdDw/bMsre9evl73AvV8+nY8eAF18ELl3ST4Ok3j4buWX0+gH9bUOvXvI/9KGH9L0PZdI0ddPczp49G/Xr10fx4sWxbds2jB8/HoMGDcLs2bMBAO3atUPFihXx8ccfpz/m8OHDqFmzJg4fPozq1atn+7yTJk3C5MmTs1y/dOlS+LEbCJHu3Lx5E3369MH169fhr6O+747IKOYTkbEwn5hPRHqmx4xiPhERYHs+2b1R6o033sD06dPve58jR46gWrVqWa7//PPPMWTIECQmJsLHxyfPjVLZtaSHhITg0qVL+Q7rlJQUREZGom3btvDy8rLpMRYLEBoK+PpKN3RPxf3T8rINemL0+gH9bENKCvD449JDas6c3D7WftsQHx+PkiVLOmWHSnVG6S2fAFmU4ZtvgD/+AMqUyVcJ+aaXz0Z+GH0b9FT/a69JT77ffwfMZtsfx3zSXz4BeXtdvv0WGDBAMqpDh3yXkC96+mzkFbfBftauBYYOlYyqVMn2x9m7fmdlFPMpq5gYGVY+eLCsYK2aXj4beWX0+gH9bMOZM0CzZsDcubkfAq9iH8ruzSNjx47FwIED73ufSjkkd+PGjZGamopTp06hatWqCAwMxPl71gO2/pzTGGUA8PHxgU82g3u9vLzs9ubIzXN5eQEffAA89hjw6afSFV0P7Pn3UMHo9QPqt2HqVGD3bmDBAnmf5oU9tsGZfwPVGaW3fAJkCN+qVbJq0OrVdikh31R/NuzB6Nuguv7Nm4F58+TL1zdvz8F80l8+5fb5wsNlEumXXgL+/Vcfw4xVfzbsgduQPxcvSoNU8+bAww/nbVEje9XvrL8B8ymrChWA8eOBN94AeveW6Vr0wOifb6PXD6jdhrQ0aSj19QU6dTLGMZ7dG6VKlSqFUqVK5emx+/fvh4eHB0qXLg0AaNq0Kd58802kpKSkb1BkZCSqVq2a43xSetW0qcyN0Lat6kqIxJ9/Au+8I/9IGzRQXY3zMKOyKlZMeiEEBamuhEgkJgLPPSe9jF9+WXU1zsN8yspkAhYvBo4c0UeDFBEguWSxAAsXus8q28yn7I0ZA5QtC9SurboSIvHxx8Cvv8oILZ2M6H0gD1W/ePv27Zg7dy7+/PNPnDhxAl9//TVGjx6Nfv36pYdRnz594O3tjeeffx6HDh3CN998g3nz5mHMmDGqys6X7t3ljXH2rEyATqRKSgowcCBQrZosE0pZuVtGhYYCVaoAN27IGWAilcaPB+LigM8/l8mDKTN3y6fgYDmpp2nA6dOqqyF3t2qVrLo2fz5wn4Ebbsvd8snTE+jbV/5XnTqluhpyd6dOydQHgwcbqzOMstmNfHx8sHz5ckyaNAlJSUmoWLEiRo8enSmMihQpgg0bNmD48OFo0KABSpYsiQkTJhhiqdCcXL4sK8j85z/A66+rrobclYcH0K8f0KoVl7HNiTtmlKYBTz4JFCokS8e6y9lf0p+OHaUHZ5UqqivRJ3fMJwCYOFGmQTh0SHp4EqlQqxYwYYKsakVZuWs+/fKLzHsXFSUjZIhUKFZMhhYbrdOBskap+vXrY8eOHQ+8X+3atREVFeWEipyjRAnghRfkn1mXLkAOc7UTOUxysiytPnas6kr0zR0zymSSxvIuXYAlS4BBg1RXRO4mOVnmPnjySdWV6Js75hMgZ34/+AAYNQr48kvV1ZA7Sk4GqlaVuRgpe+6aT61aycmUgQOB/fs53JicLzkZKFIEmDlTdSW5x07xCrzzjkyMN3Agh/GRc6WkyNmbefNUV0J61bkz8OyzwOjRQHS06mrI3YwZA/ToIb32iO4VHCwrxX71FfDDD6qrIXezapX0krp0SXUlpEeennJC7/Rp6XxA5EwnT8oqoFu3qq4kb9gopUCBArKSzK5dsnNF5CxTp8oE582bq66E9GzuXMDPDxgyhI0D5DybN8tKoC1acOgo5WzgQOlJN3gwcO2a6mrIXVy8CAwbBtSsKaMeiLJTvTowZQowaxZgQ2cxIrtISwOefx4wm4074b6y4XvurmlT4KOPgNatVVdCrsqSZkHUmSjEJsQiqHAQUk+EYsoUM8aPd6/V9ij3ihWTs32axsYBcox786mKVyj69TO73Wp7lHvW1fhWrwYKF1ZdDbmquzOqtF8Qpg8LRVqaGR99xP+LdH9jxsjIBE7RQo5y7z7Ulv+FYtMms6FW27sXG6UUGjJELuPjZfnrMmXU1kOuI+JIBEauH4no+IzxV6aEYNQKn4eJE8MUVkZG0a6dXKalAceOyRwaRPaQXT553wqGX/l5WL48jKvt0QMFBwMjR8r3f/8tK8kS2Ut2GYWawZj43DwEBHAfiu7P0xN48035/vhxICRE5nIlsods8+l6MHpOmoe2bY2bT9z104FevWQel5s3VVdCriDiSATCV4RnDisAWqEY/FU9HGuPRSiqjIzo/feBRo3kwI8ov3LKp+QCMbjWLhw7rjOfyHY7dgA1agDLlqmuhFxFThmFIjGY8nc4Io4wo8g2iYkyMsbagE6UXznmk38MVsLY+cRGKR2YOhU4elRWuuL8LZQfljQLRq4fCQ3ZvJFMct2o9aNgSbM4uTIyqpdeAsqWBZ56Crh6VXU1ZGT3zSdoMIH5RLnTuDHQty/w3HPAnj2qqyGje1BGAcwosl2hQnKMt2iRTNlClB+ufozHRikdqFNHVpJZsQL4739VV0NGFnUmKmvr+V00aDgbfxZRZ1xnCV5yLH9/YO1ameS1d2+uGEp5x3wiezOZgE8+kYldn3oKiItTXREZGTOK7O3554ERI+Rr0ybV1ZCRuXo+sVFKJ7p3ByZNkiVE//1XdTVkVLEJsXa9HxEAVKkCrFwJ/PIL8L//qa6GjIr5RI7g6wusWSPz340bp7oaMjJmFDnCrFlAq1bACy/wxB7lnavnEyc615G33wbat5cDQKK8CCocZNf7EVk98QTw++/Ao4+qroSMivlEjlKmDBAZKRMKE+UVM4ocwdMT+OYb6XHuySNvyiNXzyf2lNIRDw+gSROZV+rDD4Fz51RXREYTWi4Uwf7BgJb9esUmmBDiH4LQcqFOroxcQePGklPr1wO//aa6GjIa5hM5Us2aMtz4+HHg009VV0NGFFouFCW8mFFkf8WLyyrGiYnA9OlASorqishoQsuFIqig6+YTG6V06OJFYMYM6Zlw4YLqashIzB5mzOswDyaThNPdrD/P7TAXZg+zivLIBWgaMHcu0KkTsH276mrISO7OJzCfyEFWrABefFFO7hHlhtnDjEVPzQO4D0UOsmePjIzp149D+Sh3zB5mzO/kuvnERikdKl0a+PVX4No1oE0b4PJl1RWREVy4AAwfDnQoH4ZVPVehrH/ZTLcH+wdjVc9VCKsepqhCcgUmE7B6NVC/PtChA7B7t+qKyAhSU4HRo4G6PpJPwcwncpA33gDGjpWJhT/5RHU1ZBQLFwLr1gHhNcOwmvtQ5CAtW8pQvtWrZdXQtDTVFZERbN8OvPce8HQ1180njmzVqYceAjZulPBq316+L1JEdVWkV5cvA23bSsPUq68CYdXD8FTVpxB1JgqxCbEIKhyE0HKh0npusQBRUUBsLBAUBISGAmZjtqqTGgULAj/+CLRrJ1+bN8vqV0TZsVhkBaKvvwYefxwI68J8IscxmYCZM4Hbt4EhQ2Qi9P79VVdFevbJJ3JSb9w4oGPH++xDaZB/eMwnyoenn5b/h336SD59/DHu9CAmymr3bjkJXKeOax/jsVFKx2rUkNWupk4FfHxUV0N6deGC9KiLjZV5fipWlOvNHma0qtAq850jIoCRI4Hou5YUDQ4G5s0Dwozbuk7OV7gw8NNPwKBBbDCnnKWmAgMHAsuWyU54ly5yPfOJHMlkAj74QL4vVUptLaRvH30EDBsmjVJTp2ZcnyWjmE9kR888AyQlASdOsEGKcrZjhzRI1aghJ4Ot7QGuuA/F4Xs6V6cOsHy5tKQfOMA5piizhATpTXfxojRI1ahxnztHRADh4ZnDCgBiYuT6iAiH1kqup2hRWYq9fHng6lWZK4Hobs89J0MVli0DevW6zx2ZT2RnHh7A/PmyQ5+WJtMiEN3ts8+kQWrkSJmDLMfGAeYTOcCzzwKTJsn3mzdzjinKbP9+GQVTqxbw889yMjhHLpBRbJQyiLQ0mRSvZUuuykcZCheWYTFbtjygQcpikb0uTct6m/W6UaPkfkR5MGEC0KqVvBeJrJ55Bli1CujZ8z53Yj6Rg61ZI4vHzJmjuhLSk8cfl95Rc+bcp0GK+UQOFhMjjee9ewPJyaqrIb2oWhV45RVZ8drf/z53dJGMYqOUQXh4yKR4iYnAY48BBw+qrohU2r8f+L//k+9ffVXmILuvqKisred30zTg7Fm5H1EeTJsGNGokO1YrV6quhlS6dEkO9DRNVml86qkHPID5RA4WFiYToI8ZI/MG6XzfnBwoNVXy6do1me7gjTceMHyK+UQOVrasrBq6di3QubP0PCf3tXSpjDwoUAD4739lHtf7cpGMYqOUgTz0ELB1q7SWNm0qq4SQ+1m5Uhom58/PxY51bKx970d0j4IFgR9+kAaInj2Bd95RXRGpcPCgNE7Ong2cPm3jg5hP5GAmk+zcz5oFvP++5NStW6qrIme7elUayt9+Oxe9eplP5ARdu8o8nbt3A40bA8ePq66InM1ikUbyvn1l2gObuUhGsVHKYMqXB37/XXaoAgJUV0POlJYmQ6R69pR/Xr/+mosFFYKC7Hs/omwUKCBneP77X04u7I6++05OmBQuDOzaBVSoYOMDmU/kBCaT9JT68UfpmeDrq7oicqYjR+Rgf/dumZ+la1cbH8h8Iid5/HH531mzJlCihOpqyJmuX5dj+5kz5eTJ9Om5eLCLZBQbpQyoUCEZutWggazcMHkycPOm6qrI0d55B3j3Xel2vnQp4OeXiweHhsoKDDn1UTeZgJAQuR9RPphMwPjxwEsvyc8ffACcPKm2JnK8TZuAbt2A9u2Bbdty0SAFMJ/IqTp0yFiC/ccfgchI1RWRo125Ij3Mvb2BP/6Q+cVsxnwiJ6pcWebAK1oUOHVKFk7Lbqogch2aJvtPW7fKKKgxY3K5IqOLZBQbpQzuwAFgxgygeXMZLkquJy1NLocNkx3oB85/kB2zWf6zAVkfbP157txcdL0ierD4eGmUevRRWVmGXI81n1q0AL7+WubFeOD8B/diPpEiX34JPPmk5BQP/FyPpslX8eKy0t62bXLQnyvMJ1Jk3TqZn/rZZ4Hbt1VXQ46QliYxMnWqNJi3b5+HJ3GRjGKjlME9+qj8k718GWjYUL4n17F5M1C/vgwDLlVKdp7zLCxMlsEqWzbz9cHBcn1YWH5KJcrC3x/YuROoU0eWtV20SHVFZE9nz8pwPetQ4j59ZFGOPGE+kQLLlslB38iRwIsvSu9zcg23b8vB/Lvvys9PP/2AFazuh/lECgwbJiMjVq3i6uuuRtPkZEjnzrL4QpMmwMMP5+MJXSCjPFUXQPlXp46MQQ4PlyXZjxzJw5kg0pWUFOkBN2mS9EDw9rbTE4eFyaDlqChp6QoKku6cOm89J+MqUUKWsx07Fhg6VIYf9+unuirKrzVrgCFDZBix3ea+YD6Rk5nNMvF57drSKAUAn36qtibKv7/+AgYMkP3hL76w05Myn0iB3r1loatu3YDWrYFDhwBPHr0b2uXLwMsvA8uXywrquR79khODZxTf1i6idGngl19kZbbKlTNWfyxXTnVllFuHDwP9+wP798vS1ZMnA15edvwFZrO0XhI5iZeXnBFq3lxWPgKAM2eYT0Z09SowfLj0MOnaVQ7g7TqpPfOJFHj2WaB69Yy5GmNiZDEZHvwZS1qaLLQxZYocyP/+u/Q2txvmEynQsKFM0L9vn2RSQoL0rilWTHVllFtr18oJkJQU2Y/q1cvOv8DAGcV/ty7E21uWkQSAb7+V1vUpU6SHghkWICoKaTExOIA4RCVFo+DpgmhdqTXMHsZoQXUXt27JsqA7dsjwTCJX0bOnXEZHA9WqAT16yDD3Yv7MJ6Mwm4G//5bFNvr0seMZPiLFrP9v09Kk8dzXV3rZVH+Y+WQUJpPMtfraa7JasY+P6oqI7CMwMGMKj7fekhFZixcDnTpY0nvGWAJK47eyqdhydQszSqdOnZKheosW6X4xPKdjo5SL6tABeOUVmRT7yqcReCd+JLzOR8MDQAMApf2BkR3mYlCTYMzrMA9h1fU/1tSV/fUXMHu2/INp0EDOhvBgj1xV2bLAggXA6NGA1/cR+NA8EgUuMZ/06tIl4PXXgYkTgfLlgT17mE/kujw8gI8+AgYOBCbVjsAnBUfC/zrzSa9SUmT59EcekSFO33zDfCLX9tprwLFjwGedI9DEbyRK3IwGAJgBVPUHFnYA2p6ejWB/ZpQerFkjjeUTJ8qx+SuvMKOyw4nOXVSBAsDMmcCR9yLw32PhMJ+PznR72Xhg1Qqg0Y5ohK8IR8SRCEWVureUFJmEs0EDWXUhLk6uZ1iRKzOZgEGDgH9nRuCTq+HwucR80qs1a4CaNaX37bFjch3ziVxd06bAgUkRWJ4ajkLXmU96dfiw9DqYOBH45x+5jvlEri44GPjx+QisRjiK3cw+n54+DMTExzCjFLp8WUYthYXJlCwWi+QTMyp7bJRyZRYLqi4cCRO0LC+09ec56wGPNA2j1o+CJc3i7Ard3hNPyM7Uq68Ce/cCISGqKyJyEosFJaeMBJhPujVwoOxMNWkik6u2aaO6IiInsVjg8zrzSa+sqyS2aCGr7O3YIb05idyCxQLTqPsf381dD5jSNABgRinSuDHw888y3UFEhGHmG1eGjVKuLCoKiI5GTg2yHgDKxQPNTwNn488i6kyUM6tzW2lpGd9rmuxM/fe/nPuA3AzzSZfuzqddu4D//U96SXHuA3IrzCddsuaT9eBuxAg5ocf5N8mt3MmnnFjzKfQ0oEFjRjmJpmXeh2rWTE7o9e3L3lG2YKOUK4uNteluQYl37p5g2/0pb06fliWK+/XLuO6337gzRW6K+aQrCQmy0mft2hm9EP78U/KKO1PkdphPumKxSG+Dhx8GDh7MWBWRk5mTW8plPgHMKEf7/XfpufnxxxnXffUVT+jlBhulXJmNn4TYQnfuXpifHEe4eBEYNUp2pn7+GQgNldZ0QCZUJXJLzCddSEoCPvgAqFwZmDpVFslISZHbPLkUCrkr5pMuaBrw449AvXpA//7SaF6ggOqqiBTLZT4BzChHOXgQ6NoVaN4cSEwEqlZVXZFx8ZDYlYWGAsHB0HI4zZ0G4Iw/sLU8EOIfglO/heK99+RDRfZx4wZQvbosKz1hAvDvv8DQoex5QJTbfCqeGIoXXgDOnnVuma7u6adlFcTOnWWi4PffBwoVevDjiFxaLvOpUUAo+vYFdu50bpmubuZMyabixYHt22VelsqVVVdFpNidfMrpYMKaT1HlARNMCPEPwY8fhWL5cul1SPaxfbs0lB86BCxdKisTP/646qqMi41SrsxsBubNgwmAdk9uWYe8ju4ApHmYMLfDXESfNWPyZMm5kSOBv/92dsGu4dAhYMwY4OZNoGBB4NNPgePHgTff5MEeUbpc5tPZ02Z89x1QsSLQowewaVNGj0Oy3YUL0iNqzx75+a23gL/+Aj7/HChXTm1tRLqRy3yKPWfGgQOyKECzZjLU7PZtZxdtfLduAV9+CXz9tfzcrx+wbp3kfZMmamsj0o07+QQgS8OUNZ9GdQA0D7nt/TZz8c/fZvTuDTz0EDBjBnDpkhPrdRFpacAvvwDvvCM/N24sQ/SOHJFV9jj6JX/453N1YWHAqlUwlQ3OdHW0PxDeE9jVJASreq5CWPUwvPWW9OQZNgxYtkx6+Pz+u6K6HcliATZvlo3cvNkupw2Sk4EVK4BWrYBHHpEWc2ujXrduQMmS+f4VRK4nF/nUqRNw4gQwd640/D7+uDSuuCQ7Z5SmAVu3An36yEmHKVNkeWJADqBr1MhvwUQuKBf5VLmyfKZWrwb8/GSoWdeuasp2OAfsQx0/Drz2muTTwIHytABQpgzw5JPsXU6UxZ18Qtmyma625tOaGkCwfzBW9VyFnrXC8N130pMzNFRGblSuLCfPXY4D8unqVWDOHKBaNaBtW/mz37oljVD9+gHe3vn+FQSAM0a4g7Aw4KmngKgopMXEYB/isCwpGsNadELrSq1h9shYo7JcOVkJbuJE4LvvMs5MPf+83Pbii7KTYFgREdIN7O5VK4KD5YxDWFien7ZnT/l7tWgBLF8uQ2IYUkQ2yEU+FS4MvPwyMHy4LBJQqZJc/+GHMq5/2DCgTh1F22EvDsioefNkiF6VKsD06bLgQvHidqqXyJXlIp/MZrl7WBhw9KgcyADAH39IQ/CwYTJnm6HPpjsgn/buBRo0AIoVA557DnjpJckqInqAu/IJsbGwBJTGP2VTUXH7BkQ2fzJLRjVqJF+zZsnK335+0jDVubOctOrdW0Z4GJYD8ik5WeaJunYNCA+XXuWPPcaGckdgo5S7MJuBVq3gAaB2Sgqi161Dy/ItM4XV3Xx8pKEFkO6K3t4ytv/dd6XnT+/eQKdOBlv1JCICCA+HpmmZlnnWYmJgCg+Xpm8bQishQSYsX7pUJjBv0QL4z3/kb/PIIw6rnsh15TKfTCbplWjl5SWT4S5eLD1/BgyQj7LheijaIaNSUqRX1KpV0mg3dqxkeY0aQJs2Bj8gJlIhl/kEZJ7s9tYt4Nw52WeqWFFO8vXoIYufGIod8knT5ATCmjXSM/+rr2QS82XL5Niak5gT5dKdfAIAM4CWKSm48fft+2ZUyZLSEAUAV67I1CKDBwOvvgo8+6zsMzRv7pzy7cZOx3gxMcD33wMrVwLffisnQ7/4QhrOAwMdVj2Bw/fIBh4ewEcfyQd1zhw5A9i3L5CaKrf//HPmRmldsliAkSOzhBUAmDQNGjRpYbpPN8+ICDnLWbKk7FCeOJExZ0SjRmyQIlLlpZeAU6fkM+rnJ4sJHDggt+3aJd/rfv6pfGbU/v2Sy6VLy9DG776TfVVAere2a8cGKSIVWraUOdx27JADvalTZc4pQBZu2LQpY8VL3cpnPl2+LB0YKlWSiYFnzpTVPVNS5CRDr15skCJSITgYWLtWjmmGDZPGmP/8R26zWGRIcny82hofyA7HeFOnAg0byt/j5ZflZKd13q1Ondgg5QzcRSWbFSkiH9QDB+QAsGBBaZjq1QsICZEP8+TJwL59OjwAjIoCoqOzhJWVSYPsHUZFAZD69+yRYYyHD8t9jh2TPHv/feDkSTkIbNfOGcUT0YN4esqw2chImcw7NFSuf+cdGdJXsSIwYoRMUpmcrLbWbOUyo06eBD74QBriAFk19fBh2cbdu+Wuo0Y5o3AiehCTKWNS3EuXZDEUQA4AH39cGpP79JHh/9euKS01e7nMp6tXpTf5++/L7X5+wIYNcnD388/yN/j8cznwIyL1KlSQ6VtiYqRTEQD8+acMWStZEmjfHliwADhzRmmZ2ctlPiUlSQ6NHp3RwWLXLhk2/PXXwMWLwPr1st9IzuOwRqn33nsPzZo1g5+fH4oWLZrtfc6cOYNOnTrBz88PpUuXxmuvvYZU67vjjs2bN6N+/frw8fFBlSpVsGTJEkeVTLkQECCXnp7Sur50qazoMHs2UL8+EBcnt//wA7Bliwx5UyktJsam+21dFYM+fTIa2T74QFZVAIBx4+SA95VXJLzJ2JhRrqtEiYyDnZUrZeejc2fpPdS2bUZDzq5dMuzPmlcq2ZpRi6fEoFYt6XHw6qsyXw0gPTD27ZMTAw0acL4Do2M+uS5fX8D6ko4eLSfArCse9+4NvPGG3HbunDRSHTsm0yioZGs+fTUzBi1aAKVKSc/NtWvlJF+BArIvNX++nMwz1NQPlAXzyXV5eEgjOSDHcydPyhxUaWlyost6Ml7TgCVLZE441Sf6bM2n1Qti0KWLNLJ16CDDiK2NbBERkrd9+sj8duR8DmuUSk5ORo8ePTB06NBsb7dYLOjUqROSk5Oxbds2fPnll1iyZAkmTJiQfp+TJ0+iU6dOaN26Nfbv349Ro0bhhRdewM8//+yosikPihWTHally6R1eft2IChIbhs3TrquFykiqxb07SsrZwHO7U11wHzRpvttvHwRp08DzzwD/Pqr9Ljo3t3BxZESzCj34OMjO1Hz50sPz/375Ww9IDtUnTtLXpUtK6tlffed3Obs3p62ZtSmqxfRqJE0tl26BEyb5uDCSAnmk3swmeTAb9IkObg7cyajUWrrVtm3evhh2c9q3VoWKrDS4z7UtycvonRpyduzZ+WkJBvIXQ/zyX1UqCAn4yMjZZ9jxQq5Pi5O5sdr0EDmXWrYEBgyJGNFPz3m0w8xF5GSIhl74IA0uFkXzCH1HDbR+eTJkwEgx1bvDRs24PDhw/jll18QEBCAunXr4p133sG4ceMwadIkeHt7Y9GiRahYsSJmzZoFAKhevTq2bt2KOXPmoH379o4qnfLB2ztjxT5Aun4eOSJnAq1fVmPHSst0mTJyUFimjBwsdugg45dPnZLrSpTI3U5NQgKwbZucZYyNlcvDWil86Q+Ujc++JTYNsoxq1XGlMLFu3radjIUZ5X5Mpsyr882fL8uQW7Np926Z9BOQxqkhQ6TXZFCQfNWtK3MuAHIAGRAgX565/E+6ebN0kY+Nzciox14ohRI2ZNRTX5RCr7q53nQyGOaTewoJyfi+Z08Z2rd3r2TTnj3S0API8LiKFeX+1n2ooCCZcsDXV3pd+fjIdb6+uavhr79k7lDrPlRsLBDQ2rZ86rmU+eQOmE/uqUgRmRMOkGxJSJATfdZ9qEOHMuaGa9pUcsp6fBcUJJOpV60q+z+JiXJd4cK5O8aLjpZMtO47xcYCNyuUwlQb8qn9QuaTnilbfW/79u2oVasWAqzjwAC0b98eQ4cOxaFDh1CvXj1s374dbdq0yfS49u3bY9QDJspISkpCUlJS+s/xd2ZoS0lJQUo+Z5O0Pj6/z6OSs7ehWrWMXlIZNcgwGj8/aW2Pi5MeVpUqAU88Afz+e0YPJU9P2amqUkWWgbfWXbt2Cm7ckPHA1rmtZs2Sxqynn5bHFi8uoedTNQAjOwCrVkg43R1a1l7xozoAwwoFOOXvwvdR9s+lJ47KKObT/Tl7G8qWzegllVEDULmyzKEXFyc7PQcPAjduAC++KAscWFemMZlkfj2zWYYDBgQAY8akoE0b4JFHUpCYKPlUrpw0lgNA//4y8W+hQjJ5ZlAQUNBDPxnF91H2z6UnRswn6/PcfWk0zq6/SBHpIdW69d01yNebb8rB3fnzst+za5f0uEpJkYO/3bvl/n5+sh/14YeyevL//V8KiheXfLp7H2rfPsmjqVNl1SkfH8mzwECgfJp+8kn+BnwfZfd8esF8UseZ2+DlBTz6qHxZWUdoDhoEHD+ecYx38KAsflepErBwoSycBcjxnZcX0K+f9Pz++2+pu1atjHyyWGQ6le7dZUjwq6/KMEPricHKgcwne1OxD6WsUSouLi5TWAFI/znuzgQfOd0nPj4et27dQoEcluqYOnVqeiv+3TZs2AA/Pz97lI/IyEi7PI9KetiGu4PMat06uVy2LOfbAGDatKz15/RYi2bB4MMlEI7LmLceCLlrJYlofwmrqDol0e9gPNYdWgdn0cNrkF/22Iab1v6+OuKojGI+2UYP21C7dsZZQav75ZO1J6h1P3vGjMzbYH3s/PlZH2u5bsGWOvrKKD28BvnFfNJfPgHGf2/pof6HH5avu61fL5djx2b/mHXr5GQdkDWf9u6Vy2eeka+7WTQLFugsnwB9vA75Ya/69ZZRzCf1VG9DYGDWFesuXZIMatTowcd406dnf4xXtmwOx3i+zCdHcOY+VK4apd544w1Mv3tAezaOHDmCatWq5eZp7W78+PEYY13aBNKSHhISgnbt2sHf3z9fz52SkoLIyEi0bdsWXgZdNsTo25DX+hdWXoheKb2wtpqG5qeBoEQgthCwtTyQ5mHC8i4L0KVaFwdWnsHorwFg322It9N6s0bIKObT/bnzNuglo9z5NcgO88k++QQY/71l9PoB4+cTYPzXwd712yOjmE/Gf18Bxt8G5pM+qNiHylWj1NixYzFw4MD73qeSjTOGBQYG4g/rskF3nD9/Pv0266X1urvv4+/vn2MvKQDw8fGBTzZLe3h5edntzWHP51LF6NuQ2/p71uoJT09PjFw/Er95RKdfH+Ifgrkd5iKsepgjyrwvo78GgH22wV5/AyNkFPPJNu64DXrLKHd8DXJ6DntgPjnu+ZzN6PUDxs8nwPivg73qt8dzMJ8c93wqGH0bmE/64Mx9qFw1SpUqVQqlSpXKU0H3atq0Kd577z1cuHABpe+sPRkZGQl/f3/UqFEj/T7r1mXuZhcZGYmmTZvapQZyP2HVw/BU1acQdSYKsQmxCCochNByoTB7mFWXRnbAjCKjY0a5LuYTGR3zyXUxn8jomE/G5rA5pc6cOYMrV67gzJkzsFgs2L9/PwCgSpUqKFSoENq1a4caNWqgf//+mDFjBuLi4vDWW29h+PDh/8/efYdHUbVtAL83FUJIQk0CCV1pUoNSXkLR0EQQA6I0AQsIKNWGhaZIU4oCYvkEfV8BaSoqokiRIEVAECkiIDUkdEgikHq+Px42ISSBTbK7Z2b3/l1Xrk12Z3ef2XJn5syZczJbwZ999lnMnj0bL730Ep588kmsW7cOS5Yswffff++osskNeHp4olWlVrrLIM2YUWRUzChiPpFRMZ+I+URGxXwyL4c1So0ZMwafffZZ5t8NGjQAAKxfvx6tWrWCp6cnvvvuOwwaNAhNmzZFsWLF0LdvX0yYMCHzPpUrV8b333+PESNGYNasWQgLC8Mnn3zCqUKJqNCYUURkVMwnIjIq5hMR2ZvDGqUWLFiABQsW3HaZihUr5ui6eatWrVph165ddqyMiIgZRUTGxXwiIqNiPhGRvXnoLoCIiIiIiIiIiNwPG6WIiIiIiIiIiMjp2ChFREREREREREROx0YpIiIiIiIiIiJyOjZKERERERERERGR07FRioiIiIiIiIiInI6NUkRERERERERE5HRslCIiIiIiIiIiIqdjoxQRERERERERETkdG6WIiIiIiIiIiMjp2ChFRERERERERERO56W7AGdQSgEAEhISCv1YqampuHr1KhISEuDt7V3ox9PB7Otg9voBrsOtrN9N63fVnTCfsuM66Gf2+gHmk73YM58A83+2zF4/wHUwAnvX764ZxXzKyezrYPb6Aa7DrWzNJ7dolEpMTAQAhIeHa66EiG4nMTERgYGBustwKuYTkTkwn4jIyNwto5hPROZxp3yyKDdoVs/IyMDp06dRvHhxWCyWQj1WQkICwsPDcfLkSQQEBNipQucy+zqYvX6A63ArpRQSExNRrlw5eHi411nFzKfsuA76mb1+gPlkL/bMJ8D8ny2z1w9wHYzA3vW7a0Yxn3Iy+zqYvX6A63ArW/PJLXpKeXh4ICwszK6PGRAQYNoPmpXZ18Hs9QNch5u509G9mzGfcsd10M/s9QPMp8JyRD4B5v9smb1+gOtgBPas3x0zivmUN7Ovg9nrB7gON7Mln9ynOZ2IiIiIiIiIiAyDjVJEREREREREROR0bJTKJ19fX4wdOxa+vr66Sykws6+D2esHuA7kGK7wnnAd9DN7/YBrrIMrMvv7Yvb6Aa6DEZi9flflCu+L2dfB7PUDXIeCcouBzomIiIiIiIiIyFjYU4qIiIiIiIiIiJyOjVJEREREREREROR0bJQiIiIiIiIiIiKnY6MUERERERERERE5HRulbmPixIlo1qwZ/Pz8EBQUlOsyJ06cQMeOHeHn54eyZcvixRdfRFpaWrZlNmzYgIYNG8LX1xfVqlXDggULHF98HipVqgSLxZLtZ/LkydmW2bNnDyIjI1GkSBGEh4dj6tSpmqrN3Zw5c1CpUiUUKVIEjRs3xm+//aa7pFyNGzcux2tdo0aNzNuvX7+OIUOGoFSpUvD390fXrl1x5swZjRUDGzduRKdOnVCuXDlYLBZ8/fXX2W5XSmHMmDEIDQ1F0aJFERUVhUOHDmVb5uLFi+jVqxcCAgIQFBSEp556CklJSU5cC/fAfGI+FZbZMor5ZB7MJ+ZTYZktnwBmlFkwn4yZT4B5Mor55IB8UpSnMWPGqOnTp6uRI0eqwMDAHLenpaWpe+65R0VFRaldu3apVatWqdKlS6vRo0dnLvPPP/8oPz8/NXLkSLV//371/vvvK09PT7V69WonrkmWihUrqgkTJqi4uLjMn6SkpMzbr1y5ooKDg1WvXr3U3r171aJFi1TRokXVhx9+qKXeWy1evFj5+PioTz/9VO3bt08988wzKigoSJ05c0Z3aTmMHTtW1a5dO9trfe7cuczbn332WRUeHq7Wrl2rduzYoZo0aaKaNWumsWKlVq1apV577TW1YsUKBUB99dVX2W6fPHmyCgwMVF9//bX6448/VOfOnVXlypXVtWvXMpdp3769qlevntq6dauKiYlR1apVUz169HDymrg+5hPzqbDMllHMJ/NgPjGfCsts+aQUM8osmE/GyyelzJVRzCf75xMbpWwwf/78XENr1apVysPDQ8XHx2de98EHH6iAgACVnJyslFLqpZdeUrVr1852v8cee0y1a9fOoTXnpWLFimrGjBl53j537lxVokSJzPqVUurll19W1atXd0J1d3bfffepIUOGZP6dnp6uypUrpyZNmqSxqtyNHTtW1atXL9fbLl++rLy9vdXSpUszrztw4IACoLZs2eKkCm/v1sDKyMhQISEhatq0aZnXXb58Wfn6+qpFixYppZTav3+/AqC2b9+eucwPP/ygLBaLio2NdVrt7oT5xHwqKDNnFPPJHJhPzKeCMnM+KcWMMgPmk3HySSlzZRTzSdgzn3j6XiFs2bIFderUQXBwcOZ17dq1Q0JCAvbt25e5TFRUVLb7tWvXDlu2bHFqrTebPHkySpUqhQYNGmDatGnZuqNu2bIFLVq0gI+PT+Z17dq1w8GDB3Hp0iUd5WZKSUnBzp07s72eHh4eiIqK0vp63s6hQ4dQrlw5VKlSBb169cKJEycAADt37kRqamq2dalRowYqVKhg2HU5evQo4uPjs9UcGBiIxo0bZ9a8ZcsWBAUFoVGjRpnLREVFwcPDA9u2bXN6ze6M+eRcZswnwHUyivlkLswn52I+6ceMMg/mk/OZMaOYT/bNJ69CP4Ibi4+PzxZYADL/jo+Pv+0yCQkJuHbtGooWLeqcYm8YOnQoGjZsiJIlS2Lz5s0YPXo04uLiMH369Mx6K1eunKNe620lSpRwar03O3/+PNLT03N9Pf/66y9NVeWtcePGWLBgAapXr464uDiMHz8ekZGR2Lt3L+Lj4+Hj45PjXPbg4ODMz47RWOvK7fW/+fNetmzZbLd7eXmhZMmShl0vV8V8ci6z5RPgWhnFfDIX5pNzMZ/0Y0aZB/PJ+cyWUcwnYc98crtGqVdeeQVTpky57TIHDhzINliZ0eVnnUaOHJl5Xd26deHj44OBAwdi0qRJ8PX1dXSpbqVDhw6Zv9etWxeNGzdGxYoVsWTJEqf/syJzYD4xn5yJGUX5wXxiPjkT84nyg/nEfHIm5pP9uV2j1KhRo9CvX7/bLlOlShWbHiskJCTHrADWkfVDQkIyL28dbf/MmTMICAiw24e2MOvUuHFjpKWl4dixY6hevXqe9QJZ66RL6dKl4enpmWt9umuzRVBQEO6++24cPnwYbdq0QUpKCi5fvpytJd3I62Kt68yZMwgNDc28/syZM6hfv37mMmfPns12v7S0NFy8eNGw62UkzKfsmE/OZeaMYj45HvMpO+aTc5k5nwBmlKMxn7IzUz4B5s8o5lPh18vtGqXKlCmDMmXK2OWxmjZtiokTJ+Ls2bOZ3dnWrFmDgIAA1KpVK3OZVatWZbvfmjVr0LRpU7vUABRunXbv3g0PD4/M+ps2bYrXXnsNqamp8Pb2zqy3evXq2rt2+vj4ICIiAmvXrkWXLl0AABkZGVi7di2ee+45rbXZIikpCUeOHEGfPn0QEREBb29vrF27Fl27dgUAHDx4ECdOnLDrZ8OeKleujJCQEKxduzYzoBISErBt2zYMGjQIgHx+Ll++jJ07dyIiIgIAsG7dOmRkZKBx48a6SjcN5lN2zCfnMnNGMZ8cj/mUHfPJucycTwAzytGYT9mZKZ8A82cU88kO+VToodJd2PHjx9WuXbvU+PHjlb+/v9q1a5fatWuXSkxMVEplTRnatm1btXv3brV69WpVpkyZXKcMffHFF9WBAwfUnDlztE0ZunnzZjVjxgy1e/dudeTIEfW///1PlSlTRj3xxBOZy1y+fFkFBwerPn36qL1796rFixcrPz8/w0wZunjxYuXr66sWLFig9u/frwYMGKCCgoKyzZBhFKNGjVIbNmxQR48eVb/++quKiopSpUuXVmfPnlVKyXShFSpUUOvWrVM7duxQTZs2VU2bNtVac2JiYubnHICaPn262rVrlzp+/LhSSqYLDQoKUt98843as2ePevjhh3OdLrRBgwZq27ZtatOmTequu+7idMYOwHxiPhWW2TKK+WQezCfmU2GZLZ+UYkaZBfPJePmklLkyivlk/3xio9Rt9O3bVwHI8bN+/frMZY4dO6Y6dOigihYtqkqXLq1GjRqlUlNTsz3O+vXrVf369ZWPj4+qUqWKmj9/vnNX5IadO3eqxo0bq8DAQFWkSBFVs2ZN9fbbb6vr169nW+6PP/5QzZs3V76+vqp8+fJq8uTJWurNy/vvv68qVKigfHx81H333ae2bt2qu6RcPfbYYyo0NFT5+Pio8uXLq8cee0wdPnw48/Zr166pwYMHqxIlSig/Pz/1yCOPqLi4OI0Vy2c1t8983759lVIyZegbb7yhgoODla+vr3rggQfUwYMHsz3GhQsXVI8ePZS/v78KCAhQ/fv3z/xHT/bDfGI+FZbZMor5ZB7MJ+ZTYZktn5RiRpkF88mY+aSUeTKK+WT/fLIopVTh+1sRERERERERERHZzkN3AURERERERERE5H7YKEVERERERERERE7HRikiIiIiIiIiInI6NkoREREREREREZHTsVGKiIiIiIiIiIicjo1SRERERERERETkdGyUIiIiIiIiIiIip2OjFBEREREREREROR0bpYiIiIiIiIiIyOnYKEVERERERERERE7HRikiIiIiIiIiInI6NkoREREREREREZHTsVGKiIiIiIiIiIicjo1SZHgbNmyAxWLBhg0bdJdCRJQN84mIjIwZRURGxXwiKzZKuZkFCxbAYrFgx44dmdetWrUK48aN01fUDXPnzsWCBQt0l2GTL7/8Er1798Zdd90Fi8WCVq1a5bpcv379YLFY8vyJjY11buFEBsZ8sg9b8wkAdu7cifbt2yMgIADFixdH27ZtsXv3bqfVSmQmzKjCu3DhAqZNm4YWLVqgTJkyCAoKQpMmTfDll1/mWDYpKQljx45F+/btUbJkSVgsFlOsI5EOzKfCy08+7du3D48++iiqVKkCPz8/lC5dGi1atMC3336roXLzY6MUYdWqVRg/frzuMvIMrBYtWuDatWto0aKF84vKwwcffIBvvvkG4eHhKFGiRJ7LDRw4EP/973+z/Xz++efw8/NDrVq1UL58eSdWTWQ+zKf8szWffv/9dzRv3hz//PMPxo4dizFjxuDQoUNo2bIlDh486MSKicyLGZU/W7ZswWuvvYaSJUvi9ddfx8SJE+Hn54fHH38cY8eOzbbs+fPnMWHCBBw4cAD16tXTVDGReTGf8ic/+XT8+HEkJiaib9++mDVrFt544w0AQOfOnfHRRx/pKN/UvHQXQK5JKYXr16+jaNGihX4sDw8PFClSxA5V2c9///tflC9fHh4eHrjnnnvyXK5p06Zo2rRptus2bdqEq1evolevXo4uk4hywXwSb7zxBooWLYotW7agVKlSAIDevXvj7rvvxquvvorly5c7q2QiuokrZ1Tt2rVx6NAhVKxYMfO6wYMHIyoqClOmTMFLL72EYsWKAQBCQ0MRFxeHkJAQ7NixA/fee6+usonoBuaT5NODDz6IBx98MNv9n3vuOURERGD69OkYMGCAU2s3O/aUcnP9+vXDnDlzACDbaWVWGRkZmDlzJmrXro0iRYogODgYAwcOxKVLl7I9TqVKlfDQQw/hxx9/RKNGjVC0aFF8+OGHAID58+fj/vvvR9myZeHr64tatWrhgw8+yHH/ffv24ZdffsmswXrKSV7nGy9duhQREREoWrQoSpcujd69e+c4Ha5fv37w9/dHbGwsunTpAn9/f5QpUwYvvPAC0tPTsy0bFxeHv/76C6mpqXd83cLDw+HhUbCvz8KFC2GxWNCzZ88C3Z/IXTCfsjgin2JiYhAVFZXZIAXITmDLli3x3XffISkp6Y6PQeTOmFFZbM2oypUrZ9vhs752Xbp0QXJyMv7555/M6319fRESEnLbxyOi3DGfsjgin3Lj6emJ8PBwXL58+bbLUU7sKeXmBg4ciNOnT2PNmjX473//m+vtCxYsQP/+/TF06FAcPXoUs2fPxq5du/Drr7/C29s7c9mDBw+iR48eGDhwIJ555hlUr14dgJxKUrt2bXTu3BleXl749ttvMXjwYGRkZGDIkCEAgJkzZ+L555+Hv78/XnvtNQBAcHBwnnVba7r33nsxadIknDlzBrNmzcKvv/6KXbt2ISgoKHPZ9PR0tGvXDo0bN8Y777yDn3/+Ge+++y6qVq2KQYMGZS43evRofPbZZzh69CgqVapUmJc1T6mpqViyZAmaNWvmsOcgchXMJ8fmU3Jycq5HOv38/JCSkoK9e/eiSZMmdnkuIlfEjLJfRsXHxwMASpcune/7ElFOzCfn5NO///6La9eu4cqVK1i5ciV++OEHPPbYY/l+DrenyK3Mnz9fAVDbt2/PvG7IkCEqt49CTEyMAqC++OKLbNevXr06x/UVK1ZUANTq1atzPM7Vq1dzXNeuXTtVpUqVbNfVrl1btWzZMsey69evVwDU+vXrlVJKpaSkqLJly6p77rlHXbt2LXO57777TgFQY8aMybyub9++CoCaMGFCtsds0KCBioiIyHadddmjR4/mqOF28qo7N99++60CoObOnZuv5yByB8wn4ax8qlOnjrr77rtVWlpa5nXJycmqQoUKCoBatmxZvp6LyNUxo4Q9M0oppS5cuKDKli2rIiMj81xm+/btCoCaP39+vh+fyB0wn4Sz82ngwIEKgAKgPDw8VLdu3dTFixfz/TzujqfvUZ6WLl2KwMBAtGnTBufPn8/8iYiIgL+/P9avX59t+cqVK6Ndu3Y5HufmI/FXrlzB+fPn0bJlS/zzzz+4cuVKvuvasWMHzp49i8GDB2c7D7ljx46oUaMGvv/++xz3efbZZ7P9HRkZmaML5oIFC6CUcmgPpoULF8Lb2xvdu3d32HMQuQPmU+ENHjwYf//9N5566ins378fe/fuxRNPPIG4uDgAwLVr1+z2XETuhhllm4yMDPTq1QuXL1/G+++/n6/7ElHBMJ9sY0s+DR8+HGvWrMFnn32GDh06ID09HSkpKfl6HuLpe3Qbhw4dwpUrV1C2bNlcbz979my2vytXrpzrcr/++ivGjh2LLVu24OrVq9luu3LlCgIDA/NV1/HjxwEgs+vozWrUqIFNmzZlu65IkSIoU6ZMtutKlCiR45xpR0tKSsI333yDdu3aZRvDhYjyj/lUeM8++yxOnjyJadOm4bPPPgMANGrUCC+99BImTpwIf39/h9dA5KqYUbZ5/vnnsXr1anz++eecYY/ISZhPtrEln2rUqIEaNWoAAJ544gm0bdsWnTp1wrZt27KN4UW3x0YpylNGRgbKli2LL774Itfbbw2B3MYmOXLkCB544AHUqFED06dPR3h4OHx8fLBq1SrMmDEDGRkZDqn9Zp6eng5/Dlt8/fXXnHWPyE6YT/YxceJEvPDCC9i3bx8CAwNRp04dvPrqqwCAu+++W2ttRGbGjLqz8ePHY+7cuZg8eTL69OnjsOchouyYT3dW0Hzq1q0bBg4ciL///jvXxjXKHRulKM9W3KpVq+Lnn3/Gf/7znwJP+/ntt98iOTkZK1euRIUKFTKvv7Vb6O3quJV1VoSDBw/i/vvvz3bbwYMHc8yaYBRffPEF/P390blzZ92lEJkG88nxSpQogebNm2f+/fPPPyMsLCzzyB8R5Y0ZVTBz5szBuHHjMHz4cLz88stOeU4id8N8KpjC5JN16IOCnL7ozjimFKFYsWIAkGP6yu7duyM9PR1vvvlmjvukpaXZNN2ltQVbKZV53ZUrVzB//vxc67DlMRs1aoSyZcti3rx5SE5Ozrz+hx9+wIEDB9CxY8c7PkZu8jPlen6dO3cOP//8Mx555BH4+fnZ/fGJXBXzSTgyn2725ZdfYvv27Rg+fDg8PLiJQHQnzCiRn4z68ssvMXToUPTq1QvTp08v0PMR0Z0xn4Qj8unWUxwBmWX9888/R9GiRVGrVq0C1equ2FOKEBERAQAYOnQo2rVrB09PTzz++ONo2bIlBg4ciEmTJmH37t1o27YtvL29cejQISxduhSzZs1Ct27dbvvYbdu2hY+PDzp16oSBAwciKSkJH3/8McqWLZs5mO7NdXzwwQd46623UK1aNZQtWzZHKzkAeHt7Y8qUKejfvz9atmyJHj16ZE4XWqlSJYwYMaJAr0N+pgvduHEjNm7cCEAanP7991+89dZbAIAWLVqgRYsW2Zb/8ssvkZaWxlP3iPKJ+SQckU8bN27EhAkT0LZtW5QqVQpbt27F/Pnz0b59ewwbNqxAdRK5G2aUsDWjfvvtNzzxxBMoVaoUHnjggRynDzVr1gxVqlTJ/Hv27Nm4fPkyTp8+DUB6Z5w6dQqAjPeS3zFriNwJ80k4Ip8GDhyIhIQEtGjRAuXLl0d8fDy++OIL/PXXX3j33Xc5Lmd+6Zv4j3TIbbrQtLQ09fzzz6syZcooi8WSY+rQjz76SEVERKiiRYuq4sWLqzp16qiXXnpJnT59OnOZihUrqo4dO+b6nCtXrlR169ZVRYoUUZUqVVJTpkxRn376aY6pOePj41XHjh1V8eLFFYDMqUNvnS7U6ssvv1QNGjRQvr6+qmTJkqpXr17q1KlT2Zbp27evKlasWI6axo4dm2M98zNdqPX+uf2MHTs2x/JNmjRRZcuWzTb1OhFlx3wSzsqnw4cPq7Zt26rSpUsrX19fVaNGDTVp0iSVnJx8x+cgckfMKFGYjLK+hnn9zJ8/P9vy1unoc/spyPTuRK6K+SSclU+LFi1SUVFRKjg4WHl5eakSJUqoqKgo9c0339z2OSh3FqVu6nNHRERERERERETkBBwwgoiIiIiIiIiInI6NUkRERERERERE5HRslCIiIiIiIiIiIqdjoxQRERERERERETkdG6WIiIiIiIiIiMjp2ChFRERERERERERO56W7AGfIyMjA6dOnUbx4cVgsFt3lENEtlFJITExEuXLl4OHhXm3lzCciY2M+MZ+IjMxdM4r5RGR8tuaTWzRKnT59GuHh4brLIKI7OHnyJMLCwnSX4VTMJyJzYD4RkZG5W0Yxn4jM40755BaNUsWLFwcgL0ZAQEChHis1NRU//fQT2rZtC29vb3uU53RmXwez1w9wHW6VkJCA8PDwzO+qO2E+Zcd10M/s9QPMJ3uxZz4B5v9smb1+gOtgBPau310zivmUk9nXwez1A1yHW9maT27RKGXt0hkQEGCXnT4/Pz8EBASY+oNm5nUwe/0A1yEv7tj9mvmUHddBP7PXDzCf7MWe+QSY/7Nl9voBroMROKp+d8so5lNOZl8Hs9cPcB3ycqd8cp8Tj4mIiIiIiIiIyDDYKEVERERERERERE7HRikiIiIiIiIiInI6NkoREREREREREZHTsVGKiIiIiIiIiIiczi1m3yM3lp4OxMQAcXFAaCgQGQl4euquioiI+URExsaMIiKjYj65FDZKketasQIYNgw4dSrrurAwYNYsIDpaX11ERMwnIjIyZhQRGRXzyeXw9D1yTStWAN26ZQ8rAIiNletXrNBTFxER84mIjIwZRURGxXxySWyUIteTni6t50rlvM163fDhshwRkTMxn4jIyJhRRGRUzCeXxUYpcj0xMTlbz2+mFHDypCxHRORMzCciMjJmFBEZFfPJZbFRilxPXJx9lyMishfmExEZGTOKiIyK+eSy2ChFric01L7LERHZC/OJiIyMGUVERsV8clkObZTauHEjOnXqhHLlysFiseDrr7/OdrtSCmPGjEFoaCiKFi2KqKgoHDp0KNsyFy9eRK9evRAQEICgoCA89dRTSEpKcmTZZHaRkTIDg8WS++0WCxAeLsuR22I+kRbMJ7IRM4q0YEaRDZhPpAXzyWU5tFHq33//Rb169TBnzpxcb586dSree+89zJs3D9u2bUOxYsXQrl07XL9+PXOZXr16Yd++fVizZg2+++47bNy4EQMGDHBk2WR2np4yJSiQM7QsFigAe199Gov2L8GGYxuQnsHB8NwR84m0uEM+AUD69OnYcDIGi/5cxIxyY8wo0oLbUGQD5hNpwXxyXcpJAKivvvoq8++MjAwVEhKipk2blnnd5cuXla+vr1q0aJFSSqn9+/crAGr79u2Zy/zwww/KYrGo2NhYm5/7ypUrCoC6cuVKodcjJSVFff311yolJaXQj6WL2dfB5vqXL1cqLEwpGfZOKUD9G1JKPd2vlMI4ZP6ETQ9Ty/cvd07xN5j9PVDKvutgz+9oQTCfjMNt1iGXfFLh4WrLrBdV2PQwrRnlNu+BjXTnk1L6Msre6272z5bZ61eK21BGYO/6dWcU88k4zL4OzCdj0LEN5eX8ZjBx9OhRxMfHIyoqKvO6wMBANG7cGFu2bMHjjz+OLVu2ICgoCI0aNcpcJioqCh4eHti2bRseeeSRXB87OTkZycnJmX8nJCQAAFJTU5Gamlqouq33L+zj6GT0dcjIAM6dA+LjZZy6c+eA69eBp5+WRvFFi1IRGAjMmpUKDw9pNH/gAaB6deDMGfkJDgZKP9gJng8+CMumTUBcHGJSD6PN8QlIv6V/YGxCLLot6YbF0YvxSI3cP1P2ZvT3wBb2XAejvQ7MJ33MsA6XLkk+WX/+/Rd48EGgXDlg0yZg27ZU1KwJvP++ZFStWkDr1kByMrBnjwx1ULZdJ/gcysonhIbiq9Ln8dg3PaGQfapjZ2eUGd6DO3HlfAIcl1GOzCfr49x8aTZmqP/qVeD0adkWio8HLl8G6tUDGjUCjh8Hli9PRY0akk8WC1CiBNCrl9x31y4gIEAyyq9TJ4DbUA5h7/qN9jown/Qx+jqkpEg2xcXJ5fnzQJkywEMPAenpwHvvpaJ6dbm0WABvb8mn4sWBQ4dkmZAQIPChTrAwnxxGxzaUtkap+Ph4AEBwcHC264ODgzNvi4+PR9myZbPd7uXlhZIlS2Yuk5tJkyZh/PjxOa7/6aef4OfnV9jSAQBr1qyxy+PoZJZ1KFVKLn/4QS4DA+Xyrruy6j9yRH6sbp0tNL14MQzYPydHWAHI3AEc8u0QeB3xgqfF016l35FZ3oPbscc6XL161Q6V2A/zST+zrENgoPzs3i0/AFCzplxWrSrrcO0asGpV1n3OnbvlQQICkJ6UgEG/PZejQQrQl1FmeQ9uxxXzCXBcRjkjnwDzf7bMUn/RovJz9mxWBtWoIZfWfAKy51NcHHDwYPbH4TaUY9irfqNlFPNJPzOsg6endCIAsjKoenW5rFYtq/6YmOz3++ef7H8znxzHmdtQ2hqlHGn06NEYOXJk5t8JCQkIDw9H27ZtERAQUKjHTk1NxZo1a9CmTRt4e3sXtlQtnLkOGRnSWGTdYXvoIaBpU+Cjj4AXX5TWbutPZCTw3HPSir52rVwXGgqULg143fRJvV39ly9LWN3ciyEsDKjY8hdc+OPCbWs9n3oe/rUC0LpyS7u/Drfi5yg769Eud8B8uj1nr0N8vPQO2L1bejr17QscOAA0aSKNTWFhstEUFga8/77cZ+NGwNdX8ik4WH63ZR1SUuRIX1xcVj5dvQqMGQP8cty2jAq4JwAtKzo2o/g5yo75ZJ98Asz/2XJ2/QkJ0rty1y7pUTB+vJynUqWKNHaXL5+VQ2+8AVSqBOzdK9tCwcFym7+/7evw99/ZezHExQFDhwIHk42TTwA/R7dyl4xiPt2ZM9chJQXYty9rH2/8eCAoCHjiCeC77ySfrPtyffoAbdpIpuzfn5VbJUtmHxrqdvXHxUlvz5sz6oEHgPRw5pO96diG0tYoFRISAgA4c+YMQm+atvHMmTOoX79+5jJnz57Ndr+0tDRcvHgx8/658fX1he+tewkAvL297fbhsOdj6eKIdUhLk5ZviwV44QVpfEpMlNsqVQIaNMjqivn441m9oLLXBXTuXLD6y5SRn1st+vPWrgm569L7HBoX80aTJtKA1qSJrI+j8HOU9RhGwnzSzxHroJRklLc38OWXwPDh0jAESON3375yW+3awF9/yQQuuU3w8sADtj3frevg7Q3Ury8/tzp3zbaMGjDyHNqV90aHDkBUFGDHg8M58HOU9RhG46iMckY+OeLxnM1R9aemSk4cOgR07CiXgHzP771Xtkc8PIDNm2WHL7ftkwYNbHuu3Nahdm35udUmG7eh+gw+h/vLeOOBB6T+WzrK2B0/R1mPYyTMJ/0csQ7WfFIKaNEC2LZNrvP0lGEKzp2TfbDp04FPP5VemreqUEF+ClJ/Xve1dR/v0SfPITLIG5GRsp9p7ZXlKPwcZT2GLRw6+97tVK5cGSEhIVi7dm3mdQkJCdi2bRuaNm0KAGjatCkuX76MnTt3Zi6zbt06ZGRkoHHjxk6vmXKXmAgsWyYt4yEhwI4dcn3DhsCrrwI//SRH+I4eBXr0kNuCgnJvkHKU0OKhd14IQK+HQ1GqFPB//wc0bw788Ydc//ffAGepdR/MJ9eRlgZs2ACMHAncdRcwc6ZcX7Uq8OSTwPLlwLFjcnrLO+/IbZ6esuGT14zDjmBrRt1dPhRr1wIPPwzMmyfXWXtekftgRrkGpYA//wQmTgQaNwasw+iUKwe0bw8sWCA9nxISJMc8bmy1V6jg2ANmt7I1n5rcE4rDh2UM0GeekeuuX5eeESrnmcnkophPriM2FvjwQ2lkDg+X3lEWC9C2LTBjBrBli+wH7tkjDVOA9ILKrUHKUWzNpwcjQ3H9OjB2rJy1k5Ym1+/Zk/U76ePQnlJJSUk4fPhw5t9Hjx7F7t27UbJkSVSoUAHDhw/HW2+9hbvuuguVK1fGG2+8gXLlyqFLly4AgJo1a6J9+/Z45plnMG/ePKSmpuK5557D448/jnLlyjmydLLRwIGy0ZSSAtxzj/xt7anUs6fW0rKJrBCJsIAwxCbE5jpmiwUWhAWEYd6wSHh6yEB6O3ZkHXHs3VtC64EHgE6d5Kd8eSevBNkV88n1ffIJ8NJLMjB5aKh8b//zH7mtUSP5MQpbM+r7NySj/v5bBigGZMNw2jTgvvvk6F+nTkCdOs5tVCP7Y0a5th07gEcflUZxf3+gXTuga1e5rVgx4L33tJaXja35tOxGPp09C1y5IretWyc7tFWrSjZ17iwH/UzegcDtMZ9c27Vr0htqxw5pAI+MlO2p1FTAx0dOFzYKW/Pp8xv7eFevyrh5Xl6SUxERMsFDx46ST23byt/kXA7tKbVjxw40aNAADW7s2Y8cORINGjTAmDFjAAAvvfQSnn/+eQwYMAD33nsvkpKSsHr1ahQpUiTzMb744gvUqFEDDzzwAB588EE0b94cH330kSPLpjwkJcnpePfeKxtRgPSGmjZNxnGyHu2rVElnlbnz9PDErPazAEg43cz698z2M+HpIYcePT3lqKV1p27hQmDSJAmy556T8WVuHXiPzIX55FrS02UMg4ceku8rID2jnnsO2L5dJj/48EOgWTO9deYlvxl1991ZBwBefhn4/HPpPTF5ssy0NXGi82onx2BGuZbff5feQ8OHy99VqsisnatXS2/yZcuyepMbTX7zqWxZyV8AuP9+4Pvv5XTjJUvk7w4dnFc7OQbzybWcOiU9iFq2lF6NRYvKd/V//5NG5vXrpcd5sWK6K80pv/nk55fV6aB4ceDXX4FBg2RcrEcflZ6q1645rXy6waE9pVq1agV1m/66FosFEyZMwIQJE/JcpmTJklho3cMgLQ4cAD74APjsM2mY6thRpjYHpGeUWUTXjMay7sswbPUwnErImp4vLCAMM9vPRHTN6DzvW60aMGKE/Fy8KDMB3nef3Na3rwzUN2iQ7CiSOTCfXMO5c3K67bx5MgBmRERWD6KWLeXHLAqaUaVKySCiffpINm/YIDu8ADB7tjSgDx4sRz3Ze8o8mFHmd/06sHQpMHcusHWrHNAaMUJuK1kSmDNHb335UdB8KlJEGt8efFBeh99/lwN8gPw+dKjkU9euOSeNIONiPpmfUtKTce5c4JtvpCGqZ0/JraJFgSlTdFdou4Lmk4eH7M/ddx/w1lsy1Mzvv8v6JycDrVpJNvXv79xhZ9yRS86+R4WXmiph5eMjPYRWr5YeBwMGABUr6q6u4KJrRuPh6g8j5kQM4hLjEFo8FJEVIjNbz21RsqQM1A7IaxQWJj3IZs6UI4GDB0sXdS9+u4gcQik5iuXnB3z7LTBunPQwGDxYenKaWWEzytdXTgOyKlVKTj1u1UrGexg8WBqv2DWdyHGuXpV8OnUK6NdPTv3/6ivpyWnmbYPC5pOHR/bTpjMyJLN69ZIeZE8/LQc7zbydSWR01nzKyACeeirrdOHevc29bWCPfbzKleUHkFP77roLeO014PXXZYKuwYOzOiWQfZn4XyPlS3o6EBODjNhY7EE8YpJPodjxYmhdpXW2L+vp09LA8tFHwNtvy8bUu+8CH3/sOkewPD080apSK7s8lsUip8m88YZ0vZ87V3aOY2NlZ/D6dTlKSES3YWM+Xb0qXcnnzpUZ7BYskO/bww+71hEse2ZUjx6yIbV+vbxuw4bJBteDDzKfiGxiYz5lZEgv6rlzZbySgwell/WJE641BqU986lRI2DtWumRP2+e9BxLSwOmTpVeCj4+7N1JdEc2ZtTu3fIdW7xYfq9aVU5dK1fOdb5n9synsmVlaIR335XZBOfNk0kbfvtNDo4mJ3Mbyp7YKOUOVqyQPZFTp+ABIAJA2QBgWPuZ6N8kDLPaz0Kr4GhMmgS8/74cxevTR8ZUArLGLaG8FSkiRxh69wZOnpQd5KtXpYX9iSdkzJegIN1VEhmQDfnUqVo0PvkEmDBBxjZ46CH5rgHSxdqZs7yYkcUiY0Pcf780mFtn237kETkq+tZbWeO/ENFNbMinR2pE46efgNGjgV27smYezsiQ8SldqUHKUWrWBGbNkoN8KSly3YwZ8vJPnizZRUS5sCGjalmi8dprsmhYWPZ9EubTnZUpI6/ZCy9kzXS8bRvQrZv01O/Xz9w9YI3CoQOdkwGsWAF06wZ16lS2q8snAMuWAPdtPYVuS7ph3JIVmDcPeOUV2Wn54APZSKD8Cw+XS6XkHOT33pPxXaZN48B5RNnYmE8fb1qB4cOBNm2AQ4dk7IOoKD0lm1358llTyXfvDmzeLKf1DRoExMXprY3IUGzMp2X7VuD556Vx/JdfZLaqJ5/k7HIF4e8vQyQAMkOfxSKnPrZrJ+O8ENFNbMyoIbNXYOdO6V1+9KiciuZKvcud5eaDDKGhMiPhM8/I7PPLl8t+HxUcG6VcWXo6MGwYlFK4tVem9Y2fsRrwyFD46tpw/H0oHePGAYGBTq7TRRUrJj0QDh+W02defdW4M+sQOV0+8mny7uH452g6Pv88awBvKrz+/YG//5ZxA7/8Uk6JtE5iQeTW8pFPo9YMx/oN6di0iZMJ2FPz5jI4/IoVcgpkRIT0RCMi5CujDlYejv0H0tG3L3v02EvFisCiRdJYXqmS9JqaNUt3VebGRilXFhMDnDqVI6ysPABUSACaHwdOJZzEwesxzqzObYSGyhgTBw4A48fLddYjfmxVJ7eVj3w6mXASh1KYT45QtKh0Sf/nH2DhQhk7MCFBbrt+XW9tRNoUIJ/YGGV/FoucZvznn8DXX0vDOSC9+YncWj4yKjbpJH47w20oR2jQQCYDW7dOhmsBZFILyj82SrkyG8/FCE26sXgiz91wpGrVgHr15PeVK+XygQdksEEit8N8MpSgIMkjQAY+BWRja+lSbSUR6cN8MhQvL5nQwmKRISYmT5brp0zJGoOKyK0wowyldWs59VgpYPZsue7pp2UcVLING6VcWWioTYvF+d9YvLhty1PhjRsnl9evyxT248Zxw4rcDPPJsDp0kMuGDWXcqUcf5YYVuRnmk2GVLw/s2SO/T5ki07Pz4B65HWaUIVkswI8/yu9r1wK1a/Pgnq3YKOXKIiORUjYMGXl07swAcCIA2FQRCA8IR2SFSOfWR9iwQWbs+egj4MoV3dUQOVFkJNJDmU9G9r//ydTRGzYA+/bprobIiSIjocqHIedoLYL5pJd17NP162WWw2++0VsPkbOp5pH4tyS3oYzIOm7Xtm0yzuDcuRyuxRZslHJRycnA62M90fO8jLp263ch48bliPZAhocFM9vPhKeHp1NrJMDHR6a5P3RIphw9e1YGHWavKXJlSgGLlnjiyUTmk5FZLMBjjwHHjknX9IwM4M03gXPndFdG5Fg7d3tihMcsKGTlkRXzyTjq1ZPZDl99Vf7+5BP2miLXFx8PRD/qiT4XZ8ECbkMZVdmywLJlwHffyfbUL7+w19TtsFHKBZ0/DzRqBEydCtQbF42ML5fBEhaWbZlTAUC37sD2JuFY1n0ZomtGa6qWAJmpD5DAeuMNdkcn16UU0KsX0LMnkPJQNJLmM5+MzppPR47I7DK1anHDilzXnDlA48bAxtLROPHuMngwnwzNxwfw9gbS0mQA9HvvlUlleHCPXNHmzXJK2ObNQO/l0bAs5zaUkVksWdtQK1bIkAjdu/PgXm44MaQLUUo+/KVKAe3aAV98AdStCwDRQNeHgZgYZMTGYhfisSj5FAa36IjWVVqz9dxAHn0UqFoV6NdPNqxef11+PPkWkQuwZlSLFjJ9bnQ0AEQDfZhPZnDXXXIa36BBWWNNzZsng3sSmZ01nyIigLFjgVdeAby9o4FhzCcz8PICtmyR3pxvvikzYP33v0CdOrorIyo8az7VrCk9mCdMAEqXBoBomQWAGWV4M2cCTZsCzz0nB/c+/NC6HUwAe0q5jAsXpCHq228ltN55x9ogdYOnJ9CqFTx69ULd7kMRWaoVWlZsybAyoIYNpTv6K6/IDDN//qm7IqLCSU8HXngBePll+fvZZ2/5R8x8Mo3gYGD5cmDRIhnEc/Fi3RURFd7ixUDbtjL0QZMm0mPZ2/vGjcwn0/DxkQap336T/ztvvqm7IqLC++MPOYPi2DGgRAkZo0gapG5gRpmCxQI8/rgc3IuMBEaMAK5e1V2VcbBRygXs2yddzX//HSheXHc1ZA/WDaujR4H69aVb+rFjuqsiyr/Ll4GHHgJmzJBZk8j8bt6wGjRIrjtyRG9NRAWRkQG89hrQo4c0uHIwWtfQsKEMMvzJJ/L3P//Ie01kNsuXA82aSSOrB/faXYL14N62bYCfn4wnnJiouyr9+PE2uW+/la6ARYsC27cDrVrprojsKSRELt95RxqnrNOMEpnBwYPSYL51K7B6NTBsmO6KyJ5CQqSBavNmoHp16dnJnXoyi4QEoEsXmVxk6lQ51atIEd1Vkb34+QEBAfI+N24spxz/+6/uqohsk5EhY6N16yYH9jZtAipU0F0V2YvFkrWP98QTsi/v7gf32ChlYmlpcorXAw/ITkHlyrorIkcZNAj4z3+ABx8Epk/njh+Zw/Tp0qv8t9+ANm10V0OO0qSJzH41erQMYs/u6GQG338vk4t89x3w4ouyk0CuJyAA+PhjOTDyn/8Ax4/rrojozo4eBaZNA956S04v9vPTXRE5yowZcur4fffJsAjuio1SJnT1KhAbK4M6rl8vXQB52p5rCwwEVq6UDedRo2Qg9NRU3VUR5aQUcPiw/D5zpgw8e9ddWksiB/PwkEFXlywBvv5axkqIi9NdFVHurPnUo4f05nzwQb31kON16SL/ixISZHbqX3/VXRFR7k6eBK5fl0mPDh+W04vZYO7aataUg7cRETI+9Ny5uivSg41SJnPqlMxc1bWr7PyVLctzjN2Fp6ecHvO//8kpBl6cO5MMJjlZGkwbNJBz5IsWlQZVcg+PPio7e8HBWVMgExnJ7NlAjRrADz/I39bTJ8j11akjO35Nm/JALhlTTIyMhzZ2rPzNfHIfJUoAq1YBQ4e672nkbM4wkX/+AZo3l529efPYcu6uevWSaUQtFuDnn4ETJ3RXRCQ9OB9+GPjyS8mnsmV1V0Q6NGggG1YBAXL6wfr1uisikoN4Y8cCzz8vPzyd2D2VLi29zuvWld4oixbprohIrFoluXTPPcBLL+muhnTw8pJhL558Uv5euFAO9roLNkqZxN9/Sw8pHx85El2/vu6KSLe0NGlRb9FCGiyJdElKkoE4Y2Jkw6pXL90VkRFMngx06CCfCSJdlJLxNydMkM/kjBnsaUzAV18BPXtKYyXH6SSdvv5aTjFt317GPitVSndFpNs//wBPPSUHe91lnE42SpnEvn1AyZIyKGd4uO5qyAi8vGQ2Ph8faZg6eFB3ReSu4uKkx96PPwL336+7GjKK996TjewuXWQHkEiH5GSZuWrmTODll3VXQ0bRo4c0Uk6YIJ8LNkyRLhs3yv/JpUsBX1/d1ZARVKkik3HExAAdO8rBX1fHRimDO3NG/lE+8gjw++9AaKjuishIwsOloTIgAGjZUnrUETlLYqIcwbnrLuCvv+T0YiIrX1/ZyO7SRcabWrFCd0XkTpSSbagiReT/5LBhuisio3n5ZWmsnDZNJpFhwxQ505kzcvnuu3Kqlre33nrIWO6/Xw727twpvc7//Vd3RY7FRikD+/tvoF49YNYs+ZvdzSk3oaHAhg0ylgsHvSdn+fdfmbWqZ0/5m/lEufH2lo3t3r25wU3Oo5Q0MkRESOM584nyMmyYDIDv56e7EnInK1YAlSsD27bJGLHMKMpN8+bSMFWmjOuPJc2vgEH984+0kJYsyfFZ6M7Kls2aTSghQX5Cy6Uj5kQM4hLjEFo8FJEVIuHp4am3UHIJ164BnTsDu3cDa9boroaMzssLWLBAfldKetXdXZ35RI7z+usydtTs2Zxpje5syJCs3/fvB2rVAtIzmFHkGN9/Dzz+OBAdDTRqpLsaMrqmTbN6mh8+LGfJeHm7Xj6xUcqATp0CHnhAplNfu1ZaR4ls9cxT6Ug9NBEhtWdhv/dFxFQEMjyAsIAwzGo/C9E1o3WXSCaWmgp07Qps2SIDcjZporsiMpMPPgBGfbgU7RoPRtGL5xHnD8RUBMoFMZ/IPiZOBN5+G3jnneyNDUR38uefQMN66Zjw9ETEXpuFvZ7chiL7WrtWtqE6dgT++1/A09ztCORE168DD7RKR4faE+FVZhb2erlWPrFRyoCmTAHS02XgO44hRfmyYgX+75cB8D93AfhDrjoZAAxrD3xdKxbdlnTDsu7LTB1apNfKlcDPP8uRvhYtdFdDZlP3+kv4+9g0hO/Juu5kADC8/Sl0S2A+UeGcPAm89RYwfrycvkeUH3UOrUCc/wCU/vhC5nXchiJ7ycgARo4EWrUCFi/mKe2UP0VWrcCeawMQ+JNr5hNHoDGg6dOlQYqz7FG+rFgB1a0b/M5dyHZ1+QRg2RKgy34ZwXP46uFIz0jXUSG5gK5dZTbQNm10V0Jmk75sGZqNmobyCdmvL58ALF0CPLJfMZ+oUMLDpbfLG2/oroRM58Y2VMlEbkORY3h4AD/9BCxZwln2KJ9u5FPxi66bT2yUMpDZs2XAO29voFIl3dWQqaSny2idSuX4Ulv/nrkasGQonEw4iZgTMc6ukExuwwbgk0/k97vu0loKmVF6OlKfHwwg54aH9e8Zq4HYy8wnyr/4eGD0aCAlBahWzfUHhCU74zYUOVB6usz0GB8PBAfLjNlENnOTfGKjlEGsXAk8/7yMsE+UbzExwKlTyGs73ANAhQQg8rj8HZcY56zKyAUcPQp06ybdzTMydFdDphQTgyLx5/Lc6Lg5o5hPlB/JyTJg8GefARcv6q6GTInbUORAL78MvPuuDKJPlG9ukk8cU8oA9u2TGfaio2XGGKJ8i7MtgEKTblwW52BlZJukJODhh4GgIODLL6X7OVG+5SOjmE9kK6WAQYOA338HfvkFCAnRXRGZErehyEE+/1wapGbNklnVifLNTfKJjVKaXbggU6tXqSJH+bjDRwVi44j48f5AeEA4IitEOrggcgUZGcATT0hPqa1bgVKldFdEpmVjRqUHl2E+kc3eew+YP192/Bo31l0NmRa3ocgBtm0DBgwAnnxSzoYhKhA3ySc2gWgWGwv4+wPffCOXRAUSGQmEheU5kEYGgBMBwMYKwPS2M+HpwTlo6c4SE4Fz54CFC4HatXVXQ6Z2I6NUHv3PrRnVoccc5hPZ7NAh4IUXgD59dFdCpmbrNlRFYGZ7bkORbY4cAZo1A+bO5Th3VAhukk9slNKsbl1g1y4ObE6F5OkpfYOBHKFlHQJo7EOloJYvx/7l5pwqlJwvMFBOienUSXclZHo3MsoCS46GKWtGvRbyIv439lGOW0Y2mz0bmDJFdxVkejZsQ734QCn4/7gckaW5DUW26dkT+PlnzrRHhWRDPr3avhQyli5HiXjz5hMbpTTZvh1o1w44f56n7JGdREcDy5YB5ctnu/paSCns/2A8PvnvGbwWHY2tWzlYNd3elStAq1bAzp3MJ7KjGxllKR+W7eqU0DJQS5ei75ypOH7c5uETyE0pBfTuDfz3v/I3M4rs4g7bUDPmnEHJM9HYvVtPeWQeM2cCQ4dKVjGfyC7ukE/zvziDVsGyj2dWHFNKg+vXgX79gKJFZfBgIruJjpZRqWNiZM8uNBTFIiNxj6d05Rw7Vhrc2Y2YbmfUKBk4uEwZ3ZWQy8klo4pERgKenogCcOAA4O2tu0gysi++kJ9u3XRXQi7nDttQf//NfKLb+/tvYPRoYOBAbmuTnd0hn376ydz5xEYpDcaPl3EQfv8d8OI7QPbm6SndXHJh/bz9/DNw8CAwZIjzyiJzWL0a+L//Az76CKhQQXc15JJuk1He3jIOx7x5cloWjzLTzeLipAdCz55Aly66qyGXdId8SkwExo0DXnmFB24ou/R0oH9/6czy9tu6qyGXdId8ysiQ09rr1s1zMcPi5p6Tbd8OTJ0qPVbuuUd3NeSufvkFGD4c7IZO2Vy5AjzzDNCmDfD007qrIXd19CjwzjvSMEVkpZT0PvDxkVn3iHS4elVmy+ZBPbrVe+8BW7bIjKB+frqrIXe1fLk0jiYl6a4kf9go5WR//w385z/Ayy/rroTc2RtvADVrymmkqam6qyGjOHZMBjf/5BN2Oyd9oqKk8eGll6SBigiQHioXL0pjZalSuqshdxUcLD0Rli6VHyKro0eBYcNksjQiHTw8gE8/Bc6ckd6cZqK9UWrcuHGwWCzZfmrUqJF5+/Xr1zFkyBCUKlUK/v7+6Nq1K86cOaOx4sLp1QvYsIGn7ZFePj5yJGfvXnYxvh13y6d69YA9e3jaHuk3dao0PDz1FCdmyIu75VNAALBxI0/bI/0eewx45BHpLXXunO5qjMnd8gmQnlLvvqu7CnJ3VasCkycDc+YA69frrsZ22hulAKB27dqIi4vL/Nm0aVPmbSNGjMC3336LpUuX4pdffsHp06cRHW2+6Q63bwdGjJBBzjlGBhlBRIQMxrhwIZCcrLsa43KHfLpyBXjiCeDUKeYTGUNAgIxttn07sH+/7mqMyx3ySSkZR2rzZuYTGYPFAnzwgXw2v/tOdzXG5Q75BMhn4f/+T35nRpERPPcc0KKFnGpsFobor+Pl5YWQkJAc11+5cgX/93//h4ULF+L+++8HAMyfPx81a9bE1q1b0aRJE2eXWiAZGcCAATI2GXtIkZG88YacSurrq7sS43L1fAKAMWOAr74C3npLdyVEWaKigOPHgZIldVdiXO6QT19/Dbz/PnBjNYgMIThYJoxhPuXNHfIpNlZmLB4wQHclRFk8POR/Z2Cg7kpsZ4gmkkOHDqFcuXIoUqQImjZtikmTJqFChQrYuXMnUlNTERUVlblsjRo1UKFCBWzZsiXP0EpOTkbyTV0/EhISAACpqalILeQAOtb75+dxli6Vf1w//SRHVXSP4VOQdTASs9cPGGcdLBZpkPr7b+D8eeDee22/rz3XQffrcDuunk/HjwMLFgCvvQaEhjKf7MHs62Ck+osXBy5ckF4y7dvbfj/mk/Hyyfo4N1/eSVqazFj84INAx47MJ3vgOthP8eLAtWvSW6pzZ9t7ydi7ft2vQ15cPZ8AYOJEaZgcM0Z/PgHG+W4UlNnrB4yzDv7+MiPkL7/IKX2hobbfV8c2lEUppQr9bIXwww8/ICkpCdWrV0dcXBzGjx+P2NhY7N27F99++y369++fLYAA4L777kPr1q0xZcqUXB9z3LhxGD9+fI7rFy5cCD9Oh0BkOFevXkXPnj1x5coVBAQE6C4nE/OJiJhPzCciIzNiRjGfiAiwPZ+0N0rd6vLly6hYsSKmT5+OokWLFii0cmtJDw8Px/nz5wsd1qmpqVizZg3atGkDb2/vOy7/44/A44/LUd6aNQv11HaT33UwGrPXDxhvHf74Q849nj0b6NPHtvvYcx0SEhJQunRpQ21Q5cbV8un8eaBOHTlt76mnCvXUdmO070ZBmH0djFb/1atA/fpAq1bARx/Zdh/mk/HyCcjf+6KUnLJXsaL05jQCo303CoLrYH89egD79gE7dshEMndi7/rNkFGulk+A9I5avhz4/XfjDINhtO9Gfpm9fsB46zBnDvD668C2bcDdd9t2Hx3bUIY4fe9mQUFBuPvuu3H48GG0adMGKSkpuHz5MoKCgjKXOXPmTK7nKFv5+vrCN5d08Pb2ttuHw9bHeugh4M8/gcqV7fK0dmXP10MHs9cPGGcdGjWSrudjxsjGVdGitt/XHutghNfAFq6WT6GhwO7dMjaG0d4Co3w3CsPs62CU+gMDZey7wYNlwpC6dW2/L/PJePmUn8f78UcgKYn55AhcB/sZP15yaf58GWDYVvaq3wivwZ24Yj5NnAgMHCinSRmNUb4bBWX2+gHjrMOzzwIzZgBjxwLLluXvvs7chjLcHAFJSUk4cuQIQkNDERERAW9vb6xduzbz9oMHD+LEiRNo2rSpxiptc+CADHJuxAYpolu99RZw5oz0lqLcuVI+HTsG/PsvEBZmvB0+ols99RRQrZrMGEq5c6V8unJFZgMtVkwazYmMrHZtmcH2zTelEZVycqV8UkpmhfXwACpV0l0N0e0VKQJMmCC9+n77TXc1edPeU+qFF15Ap06dULFiRZw+fRpjx46Fp6cnevTogcDAQDz11FMYOXIkSpYsiYCAADz//PNo2rSp4WdmOH8eaNxYusu99JLuaojurFo14OOPgchI3ZUYh6vmk1JAr17SA2XVKt3VEN2Zt7dMu80ZbLO4aj4BwNSpwLx5wMmTAIeKITMYP16GQchPT3NX5sr59PPPQNu2wNatsq9HZHS9ewMXLwLVq+uuJG/aN+9OnTqFHj164MKFCyhTpgyaN2+OrVu3okyZMgCAGTNmwMPDA127dkVycjLatWuHuXPnaq76zt5+Wy6ffFJvHUT50a+fXColM/O5O1fNp2+/lXHufvxRdyVEtnvgAbm0joTp7hnlqvkUFyenGgwfzgYpMo8KFYD+/eV3bkO5bj5lZACvvAI0awbcd5/uaohs4+kpwx8Axs0n7Y1Sixcvvu3tRYoUwZw5czBnzhwnVVR4p05lDSpWurTuaojy5/ffpUV9/XqeNuGK+ZSRAbz2mgwg3KaN7mqI8ichAejQQXYKOnXSXY1erphPgIzTUqQIe5mTOQ0ZIqedTp2quxK9XDWfVqyQ7eSNG425Y090O599JmPfrV9vvM+v4caUcgXz5sksDMOH666EKP8qVwaOH5dT+cj1rFsH7N0rAx4a7R8S0Z0EBMhRvlmzdFdCjnD5smwwDx8O3DT+MZFpBAYCH37IsaVc1cyZQOvWHOqCzCk0FPjlF+DXX3VXkhMbpRygShXg1VeB4sV1V0KUfyVKAD17ykZVWpruasjeihSRUwy4QUVmNWQIsHYt8Ndfuishe0tKArp0AZ55RnclRAUzcKB8jhcu1F0J2VtaGtCkCTBqlO5KiAomKgq46y7AiGfKslGqsNLTgQ0bgEWL5DI9HU8+KacWEJnVoEFyGup33+muhArtloxq3jQdn37KXlJkXt26yanx8+bproQK7ZZ8CgtNxxdfyNFcIjOqWBF46CEZxsM6/h2Z1C355GVJxzvvAB076i6MqGA8PGQfb9kymXHdSNgoVRgrVshcoK1bS9eS1q1xqVQoTs9eprsyokJp2FCOBn31le5KqFBWrIC6JaOuh1aS7CIyKV9f4OmngW++kTHSyKRy2Ya6UiYUqUu4DUXmNngwsH8/cOiQ7kqowHLJp4ulQpH4GfOJzK1fP5nJ2Gizb7NRqoAsX30FdOsGdepUtusDr5xDyPOPYut7HKGTzO2rr2RsDzKpFSugunXNkVE+505BdevKhikytZdfBvbtk6N+ZD55bUMVv3QOno9xG4rMrU0b4MQJ4O67dVdCBZFXPgVdOYdi/ZhPZG4lSgCHD2fNFmoU3JwriPR0eI4cCaUUbj0DxvqClntjGlbsXersyojsJiREdvguXdJdCeVbejquDh4ApXKGvAfklIKrQwZI13QiEwoKAvz8JJ94iozJcBuKXJyHh5yCmpwM/Puv7mooX5hP5AbKlZNtp8uXdVeShY1SBVBq/35YYmNzhJWVB4AKCcDiD4YgPYM7fWReH38MVK0KXL2quxLKD7VxI/zOXMgz4D0A+MVfQPovG5xYFZF9/fmnbFht26a7EsoPbkORO0hNBapXB95/X3cllB/MJ3IXTzwBPP647iqysFGqAIrY2HXE88w5xJyIcXA1RI4TFSWt6IsX666E8uPgvg22LbfXtuWIjKh2bWmUMuIsMpQ3bkORO/D2luGI5s1jp2QzYT6Ru4iKAn78UU7lMwI2ShXA9RIlbFouzh+IS4xzcDVEjlO5MtChA/Dhh7orofyIK27jcv6OrYPIkTw8gGefBb78kqcZmwm3ochdDB4MHD8O/PST7krIVswnchfduwMlS8pZMUbARqkCuFCrFq6HlEZek/5kADgRAMRUBEKLc15jMreePYHffgNiY3VXQrbyiGyJkwG4Y0Z5tmzlxKqI7K9HDyAlBVi9WnclZCtuQ5G7aNQIqFYN+Ppr3ZWQrZhP5C6KFgWio42TT2yUKghPT3jMlJPEbw0t698j2gPlg8IRWSHSqaUR2VuHDtKSvm+f7krIVs0rtcSE6FIA8s6ot6JLIbJyKydWRWR/YWFA48bAkSO6KyGbcRuK3ITFAnTuLL2lyCSYT+RGOneWyRjOn9ddCRulCswS3RW/zXoRsQHZrz8VADzaHfiqlgUz28+Ep4enngKJ7KRkSeDsWaBtW92VkK08PTzR4aWP8Gh35JlR7V/6iPlELuHXX4HXX9ddBeUHt6HIXUydyp6cZsN8Infx4IPAyZNA6dK6KwG8dBdgZk2GTsX/Gt+LT94djNCM84jzl+6c5YPCsaz9TETXjNZdIpFdeHoCiYmAjw/g66u7GrJFdM1oYNxy3FVxKJqcjUVokoyBcKxOGKY/OIv5RC7D0xNIS5OjfYGBuqshWzUZOhXRsffi8rHBCE7nNhS5Jk9PmXr94kWgVCnd1ZCtmgyditeD7sWmbwcjVDGfyDV53mhXvXBBfz6xUaqQvI4+il+WRWPJthikFYnDuOKhiKwQydZzcinx8UDFijKgcJcuuqshWzUJjEbyOw/jPx/G4J4mcQhlPpGLatQIaNUKmDlTdyWUH/u/eRT/iYxGn9diEJfIbShyTSNGABs2ALt3666E8uP85kdx6o9ojP0xBvFJzCdyTStWyKDn8fF6e0yxUaqQVq4EGjbwxKP3ttJdCpHDhIQAVavK552NUubx3XdyKt+orq1QsqTuaogcp1kzyacZM2QcFzK+gwflZ9o0T7Sq1Ep3OUQO06wZMGuWjC1VsaLuasgWGRnAt98Cjz/uidaVW+kuh8hhmjUD0tOBVauAJ57QVwfHlCqkvn2BsWN1V0HkeJ07SyNHerruSshWzZoB778PNkiRy+vcGTh6lBMymEmJEjLezgMP6K6EyLHatQO8vaWRg8whPR146y3ZzyNyZSEhMmHMypV662CjVCG1aycbw0SurnNn4Nw5YNs23ZWQre65Bxg0SHcVRI7XujXg769/o4psV7Ys8OKLgJ+f7kqIHCswUE4vZj6Zh7c30L8/ULeu7kqIHK9zZ+DHH4HkZH01sFGqED7/XM7DJHIHjRsD5csDO3boroRssXkz8O677NlG7sHXF2jfHvjjD92VkC0uXwZGj5YxLIjcQefOwF9/ASkpuishW7z5JrBzp+4qiJzD2sFmzx59NbBRqhDmzQOWL9ddBZFzeHrKeAhDh+quhGzx3XfA9OlZM2sQubrFi2UyBjK+338HJk+WWV2J3MGgQbIN5eOjuxK6k2vXgHHjJKeI3EHt2sCVK8C99+qrgY1SBZSWJrNoREToroTIeaxTGyuluxK6k507mU/kXqwNsMwn49u9GwgIkAk0iNyBp6dMwsB8Mr4//5SBzrkNRe7CYgE8PPTmExulCujQIWlJZ2CRO9mxAyhVCjhyRHcldDtKsVGK3E9aGlClCvB//6e7ErqT3buBhg1lI5jIXfTuDfTrp7sKupPdu6VH2z336K6EyHnmzAHuvlvf83NzoICsXTobNNBbB5EzVaoEXLrEcaWM7uRJ4MIFNkqRe/HykkGzmU/G9/vvzCdyP0FBnCzGDHbtAurU4amW5F6Cg4HDh/WN9chGqQKqWBEYNUq6nxO5i9KlgQoVOPij0VkswODBes8NJ9IhIoL5ZAbdugEdO+qugsi5IiKAv/8GkpJ0V0K306wZ8PTTuqsgci7rgSJd21Beep7W/Jo3lymoidwNd/qMLzxcuuESuZuICBnwnDNcGdu4cTLlOpE7iYiQ0+t1znBFd9anD/OJ3E+lSkCJErKP17at85+fPaUKaNUqmdKYyN1ERMipFxys07g2bgROnNBdBZHzRURIg9Rff+muhG7nzz91V0DkfLVqAUWKyOlhZFwxMTJGIZE7sVj0djxgo1QB9egB/PGH7iqInO/pp7lDYXR9+wLz5+uugsj5GjUC9u2T6Y3JuEaP1l0BkfN5ecmYdzw1zNiio2X2PSJ3M28esGCBnufm6XuFwEHOyR0FB8tlaqreOihvFy9yEGFyT76+0huB+WRs9evrroBIj9q1mU9GV6sWBzkn91S1qlzqyCj2lCqg8HAOck7ua8gQYOFC3VXQ7XAqY3JXH3wAvPGG7iooN9axvmrW1FsHkS4bNwKPPaa7CrqdWrV0V0Ckx7lz0lNQx7h3bJQqoNBQ3RUQ6bNlC7B9u+4q6HaYUeSuDh0CfvhBdxWUG+tU08wncleXLwOrV+uugm6H+UTuytcX+Oor2Y5yNjZKFVDdurorINKnXDkgLk53FZSXRo3kHwuRO2I+GdfVq3JZvrzeOoh0KVdOdwV0J9ZTmIjcTfHiQLFierah2ChVQO++q7sCIn1CQ7OOeJPxrF2ruwIifUJDgaQk3VVQbmrUkMvq1fXWQaQLe+EYX69euisg0sNikYw6c8b5z81GKSLKt3Ll2ChFRMbEngjGlZ6uuwIivYKDZcePjIcz7hHp623ORql8sg7SuWyZ3jqIdHroIeDll3VXQXkZOVJ3BUT61KoFTJqkuwrKzcSJuisg0svLC5g8WXcVlJsNG+QyNlZrGURaDRsGdO/u/Odlo1Q+WbuzlSihtw4ine69F+jfX3cVlJfAQN0VEOkTHAwMHqy7CsoNe9gSAc8+q7sCyo01n0qX1lsHkU7R0UDbts5/XjZK5RNnjiECEhOBpUt1V0G3UkouQ0L01kGk26pVuiug3LBRigjYsUN3BZQba8cDThRD7uzoUWDRIuc/Lxul8sm6QRUcrLcOIp2uXAGeflp3FXSry5flko1S5O5efVV3BZQbNkoRAZ99prsCyg1nbSUCfv1VT29ONkrlk7UVvWRJvXUQ6cRGWWOy5lPZsnrrINKNDbPGpGNGHyKj4TaUMTGfiPSdDWaaRqk5c+agUqVKKFKkCBo3bozffvtNSx2PPiqXnDlDj/TUFOxZ8h4Sf/gIe5a8h/TUFN0luSUPpKBlMN8HK6PkU5UqctmwoZanJzCjjCA9NQXVFd+Dmxklo9au1fK0dAPzSb/01BQUj+V7cDOj5NPUqVqelm5gPhmDr08K/lNKw/ugTGDx4sXKx8dHffrpp2rfvn3qmWeeUUFBQerMmTM23f/KlSsKgLpy5Uqha0lJSVFff/21SklJKfRj6WLWddgy60UVG+iplAydoxSgYgM91ZZZL+ouLd/M+h4o5Zj3wZ7fUWdjPtmXmdfBVTKK70F2Zs4npQqXUfZedzN/tpQyd/2ukk9Kmfd9cNR7YOaMYj7Zl1nXgflkDFtmvahOadqGMkVPqenTp+OZZ55B//79UatWLcybNw9+fn749NNPnV7L9987/SkJwNb3XsJ9w6Yh5Ep6tutDrqTjvmHTsPW9lzRV5l74PuRkpHw6dEguOW6L8/G7oR/fg9wZKaMGDnT6UxL43TACvge5M1I+TZ/u9Kck8LthFNb3IVTT+2D4RqmUlBTs3LkTUVFRmdd5eHggKioKW7ZscXo9f/7p9Kd0e+mpKagwRv5T3PqBtf4dPnY6u3k6GN+HnIyWT2fPyuW//zr9qd0avxv68T3InZEySilg8WKnPiWB3w0j4HuQOyPlEwCsW+f0p3R7/G4YgxHeBy+HPbKdnD9/Hunp6Qi+ZVTA4OBg/PXXX7neJzk5GcnJyZl/JyQkAABSU1ORmppaqHqUSs18LLOy1m6Wddiz5H1E3NJqezMPAOUvp2PnkvdRt/tQ5xVWCGZ7DwDHvg9meh1uZrR8Skuz3j8VJn1J+d0wAL4H2ZnpdbhVfjPKkfmUkQEULWq+z9bN+N0wBrO9D45+D8zyOtzKSPkEAB4e5vpc5YbfDf3M9h4AxtiGMnyjVEFMmjQJ48ePz3H9Tz/9BD8/v0I9dr16crlmzZpCPY4RmGUdEmPWIcKG5Q7ErMMp/2oOr8eezPIeAI59H65evVqwokzIkflkdfDgGhw8aJeH0obfDf34Hgjmk/3yyXpGjpk+W7kxU/2umk+Aed4HR78H7pJRjs6nZ5+VS7N8rm7HLOvAfDIGI2xDGb5RqnTp0vD09MSZW+bpPHPmDELymPN59OjRGDlyZObfCQkJCA8PR9u2bREQEFCoeqZPT0WNGmvQpk0beHt7F+qxdElNTcWaNeZZhz1Jh4EPV91xuZqR96Pugw86oaLCM9t7ADj2fbAe7TIbo+XTli2puHRpDSpXboOaNc3xuboVvxv68T3Izqz5BOQ/oxyZTwBQvnwqPv7YXJ+tm/G7YQxmex8c/R6YNaOMlk/duqXiySfN87nKDb8b+pntPQCMsQ1l+EYpHx8fREREYO3atejSpQsAICMjA2vXrsVzzz2X6318fX3h6+ub43pvb+9CfziaNAEuX7bPY+lmlnWo3/15nB7yMkKupOc6CFoGgLggT9Tv/jw8TbA+NzPLewA49n0wy2twK6PlU4UKwKVLQOnS5vlc5YXfDf34HgizvAa5yW9GOTKfAGDoUPs+ni5mqt9V8wkwz/vg6PfADK9BboyWT1272vfxdDLLOjCfjMEI21CGH+gcAEaOHImPP/4Yn332GQ4cOIBBgwbh33//Rf/+/Z1eS7NmTn9Kt+fp7YMTE+TISMYtt1n/Pjl+JDy9fZxal7vh+5A7I+VT+fJyWaaM05/arfG7oR/fg7wZKaNeftnpT+n2+N3Qj+9B3oyUTz16OP0p3R6/G8ZghPfB8D2lAOCxxx7DuXPnMGbMGMTHx6N+/fpYvXp1joHxnME6u5VSTn9qt9Zk6FRsBVBhzHSUu2kgtrggT5wcPxJNhk7VV5wb4fuQk5HyyTr+59mzWQ1U5Bz8bujH9yB3Rsqobduc/pQEfjeMgO9B7oyUT4cOOf0pCfxuGIX1fQh/YzrKJzj/fbAo5frNKwkJCQgMDMSVK1cKfc7x8uWp8PJahSZNHkRwsDm65N0qNTUVq1atwoMPPmiaboVW6akp2L3kfRyIWYeakfff6EZovtZzM78HAJCWkoINH72P+L32eR/s+R01G3uu+5kzqdi6dRXS0h5E167m+1wB5v9uuEJGucJ7sOnT93FyF/OpsOy97o0apeKNN8z72XKF74bZ8wkw9/uQnpqCrZ+/j6Pb7fceuGtG2Xu9hw9PRevW5vxcWZn9u8F80u9qUgpi/u99nDvg3G0oU/SUMpKQEOD8eSA+HtDQiO/2PL19ULf7UJzyr4a6Dz5ouvOLXYWXjw9aDhyKVav4PhhJiRJyGRentw53xozSz9PbB82eZD4ZUR7zP5CTMJ/08/T2wX1PDMX50nwPjCY0VHcF7o35ZAx+/j64f7Dzt6FMMaaUkVg3qOLj9dZBpNPmzcBTT+mugm5lscjlLRPZELmVxETgiSd0V0G5YaMUEfDKK7oroNxYOxukpOitg0injz4CJkxw/vOyUSqfrIHFngjkzvbsAb76SncVlBfmE7mz2Fjgm290V0G5YaMUEbB8ue4KKDfseEAErFsHbN/u/Odlo1Q+WWci9eArR24sLg4oW1Z3FZQXf3/dFRDpw0ZZ46paVXcFRHqlpQHnzumugnJjnSDm6lW9dRDpFBenZ4giNq0UEKcNJXd2+jSPeBvZtGm6KyDS5/Rp3RVQXnr31l0BkV5nznAGb6OqUSP7JZE7On1az/hqbJQqIP5DIXcWF8dGKSNjPpE7i4tjb0GjY0aRu2JPTuNjPpG7Uoo9pUznwQd1V0CkT9++HEjYyIKDOVAnua/mzYExY3RXQbmx9mLbsEFrGUTaBAcD48bproJu5623dFdApEdGBvDmm0CLFs5/bjZKFdCpU7orINLn0UfZMGtkyck8Gkvuq0kTYOBA3VVQbkqVkkvmE7mr8HBgxAjdVdDtMJ/IXXl6Sj7Vrev852ajVAGdPCnTThO5mytXgM8/By5f1l0J3c6+fborINJj4ULg6FHdVVBurJPF/PWX3jqIdPn5Z+C333RXQbdz4IDuCoj02LdPZlfXcQorG6UKSClg927dVRA537Ztcvre+fO6K6G8BAUBO3fqroLI+a5eBfr0AX75RXcldDvcfiJ3NWYM8OGHuqug29m3j0MgkHv64gtgyBDAYnH+c7NRqoCKFAF27NBdBZHz7dwJFC8OVKmiuxLKS4MGzCdyT3/8IWMi1K+vuxK6nV27OJgwuZ+0NGmQZT4ZW3Iye5uTe9q5E4iI0PPcXnqe1vw2bwaqVtVdBZHzWQPLg03ahjV7NlCmjO4qiJxv507AxweoVStrUG0ynt9/13Mklkinv/4Crl0DGjaUoRDImP74A6hWTXcVRM6llGxDPf+8nufnbmUBVa0KeHvrroLI+XS2opNtwsIAf3/dVRA5386dQJ060jBFxsVGc3JH1tPqdQwiTLarVImN5uR+TpwALlzQt4/HRqkC+v13oFUrDnZO7iU1VY7wtWqluxK6naQk4KGHgHXrdFdC5Fzh4UCXLrqroDsZPRp4913dVRA5l58f0L27DIFAxvXFFzJ2KpE7SUoC2rRho5Tp+PrKQKq7dumuhMh5vL2B5culwYOMq1gxOcV40ybdlRA514QJwOuv666C7uTkSeD773VXQeRcjz4KfPml7iroThITgcWLOdg5uZfatYGffgJCQ/U8PxulCqh6dRnsnDNckTs5cQK4fFl3FXQnFosc6WA+kTu5eBE4dYoDaJtB/frS45zvFbmL9HTgwAG5JGOrX18apDjYObmTv/8Grl/X9/xslCogLy+gXj3u9JF7GTmSp8aYBRulyN0sXCizgvLotvHVry8DPR85orsSIuc4cEAmYIiJ0V0J3UndujKZD7ehyF0oBTRrBkyerK8GNkoVQpMmwMaNPNJH7iEjQ04Ha9JEdyVkiyZNgNhY4J9/dFdC5BwbN8qYd76+uiuhO2nYUHp0btyouxIi59i4UQ5oN2youxK6Ez8/mTCD+UTu4sABGeRc5z6el76nNr8BA4AOHaRRirM0kKv77TfgzBmOJ2UWUVEyWGfZsrorIXK85GRg9WrgpZd0V0K2KFkSWLQIaN5cdyVEzrFyJdCyJRAQIJPGkLG9+y5QqpTuKoicY+VKaYzVOZEVG6UKoVYt+SFyBytXyj/opk11V0K28PcHevbUXQWRc/zyiwxO27mz7krIVo89prsCIudISJDZcN95R3clZKsHHtBdAZHzrFwJtGsn42XrwkapQvr5x3T89XEMnusaJ8PVR0YCnp66yyKyuwsXgEce4cfbTI78nY4lz8fg+Ufj4F+N+USu69QpGQekTh3dlZCtkpOBV19OR59KMagfzG0ocl1HjgDBwUCnTrorofyYNycdIYdi0KUx84lcV0qK/D/WfVCPjVKFsWIFmj4zDFEXTwHLb1wXFgbMmgVER2stjcjePvyQ46eZyooVqPjcMIyOOwX8dOM65hO5qCefBPr356n0ZuLz3Qq8MGcYQtNOZV3JjCIX1KCBzF7MfDKRFSvQ/eVhKPkv84lcm4+PDOqvex+PA50XkOWrr4Bu3eB38VS261XsKahu3YAVKzRVRmR/p08DaWncoDILaz55xTGfyPVduiSn7jGfzMPy1VewPNoNIWnMKHJt6emyDcV8Mg/rNlSJf5lP5PpOnjTG+NhslCqI9HR4jhwJKIVb3z+LApRSuDpkgPwnInIBffoAjz+uuwqyyU35dCvmE7mi2bOBqlX5kTYNbkORG9m8GShfHtizR3clZBPmE7mRa9eAGjWAOXN0V8JGqQIptX8/LLGxed7uAcAv/gI2/m+i84oicpBLl2QQYQ76aA7MJ3I3K1cCrVtzqA+zYEaRO1m5UsaTuuce3ZWQLZhP5E7WrQOuXjXGPh4bpQqgyKVLNi235OdZSM9gSzqZ2+rVckCIA3SaA/OJ3ElsLLBjh/4BOsl2zChyJytXyvaTB/e4TIH5RO5k5UqgWjXpLaUbI7IArpcoYdNyez0vIuZEjIOrIXKsRYuARo1kfEcyPuYTuZMvvwS8vYEOHXRXQrZiRpG7+P134O+/gS5ddFdCtmI+kbu4fl2GR+vSRf94UgAbpQrkQq1a+De4JDLyuD0DwIkAIKYiEJcY58zSiOwqOVl6IgwYoLsSshXzidzJkSPAY48BJUvqroRsxYwid7F3r/RAaNdOdyVkK+YTuYu//5aZ955+Wnclgo1SBeHpicNvPAcAOULL+vfw9kCGBxBaPNSppRHZk6+vnBrz5JO6KyGbMZ/IjcyZAyxYoLsKyhdmFLmJJ56QhikvL92VkM2YT+Qm6tYFTpwAqlfXXYlgo1QBVX96NAb2K4XYgOzXnwoAunUHvq5lQXhAOCIrROopkKiQkpOBnTulSycHEDYX5hO5g99+k/HumE/mw4wiV/fnn0BiIvPJjJhP5OpOngROnTJWPrHtvoA8PTzR4aWPULlCV0QeB0KSgDh/6c6Z4WGBBcDM9jPh6WGgd5soH5YvB3r1ktNjqlTRXQ3lx23zycJ8IvM7cQJo2hT45BOgf3/d1VB+3S6jlIcMbsGMIrPKyAC6dQOaNAE++0x3NZRfzCdydW++Cfz0E/DPP8aZhMEgZZhTdM1oLHl8OQ7XC8PiOsAvlaU7p29yGJZ1X4bomtG6SyQqsLlzgfvvZ4OUWeWVT5bEMHzxMPOJzO2jj4BixYBHH9VdCRVUXhlVxpfbUGRu69bJeC1GGauF8i+vfAoA84nM7fJl4IsvgKeeMk6DFMCeUoUWXTMaD1d/GDEnYhCXGId/z4SibfVIVAhn6zmZ1x9/AL/+CixbprsSKoxb88knJRQVLZFoVJ/5ROaVkgJ8/DHQty/g76+7GiqMmzMqNiEOpw+GYliXSPh4M6PIvObOBe65B2jeXHclVBi3bkOd/ScU/VpHIjCA+UTm9fnnsh1ltEZzNkrZgaeHJ1pVaiV/1JELpYwxvSJRQXzwAVCuHNC5s+5KqLCy5dMNSsklM4rMaMUK4OxZYNAg3ZWQPWTLqLpywW0oMqtTp4BvvgFmz+Zn2BVwH49ciVLSaB4dDYQabJx+A3Xach1r1gA1awJJSborISqYcuWAF18EvL11V0L2dvo0UK8esHmz7kqICsbHR7qd16qluxKyN6VkY3nSJN2VEBXMpUtA+/ZA7966KyFHmDoV6NJFdxVEBZOYCNx7L/Dcc7oryYmNUg5QvboMHPb++7orISqYMWOA4cN1V0GOEBICpKUBEyboroSoYKKjZYBzcj0WC1C2LDB9OpCQoLsaovyrUwf4/nugeHHdlZAjVKgArFzJA3tkTgEBwH//C0QacOJINko5QIUKwLPPAlOmABcv6q6GyHZnzgDjxklLOrkmDw/grbdk1o1163RXQ2Q7paTB/Ngx3ZWQI73xBvDvv8A77+iuhCh/PvoI2LRJdxXkSN27S2/zV17JGgqByAzWrQMWLDDu55aNUg7y+uvSG4Fd0MlM3noLmDVLPrvkuh55BLjvPm5UkbmsWCHTGLNRyrWVLw8MHSq9pc6c0V0NkW1OnQKGDQN+/ll3JeRIHh6ybxcTA6xapbsaIttkZAAjRkijlFFpbZSqVKkSLBZLtp/JkydnW2bPnj2IjIxEkSJFEB4ejqlTp2qqNn/KlgVGjQK2b5cPApHR/fMP8OGHwMsvAyVK6K7GGFw1oywWYPJkIC4OOHlSdzVEd5aWBrz2GtCuHdCqle5qjMFV8wmQ/0NBQbINRWQG48bJbKAjR+quxBhcOZ/at5f/Q9u26a6EyDYLFwJ79si2v1EH6dc++96ECRPwzDPPZP5d/KaTsBMSEtC2bVtERUVh3rx5+PPPP/Hkk08iKCgIAwYM0FFuvrz2mvyTMuqbT3SzMWOA0qXlCDVlcdWMat0aOHJEBo0mMroFC4CDB4FFi3RXYiyumk8lS8qBEuYTmcFffwHz50vvvoAA3dUYh6vmk8UC/Pgj84nMISVFTovv0gVo0kR3NXnT3ihVvHhxhISE5HrbF198gZSUFHz66afw8fFB7dq1sXv3bkyfPt3wgQVkhdWmTUBwMHDXXXrrIcrLkSPSiv7BB4Cfn+5qjMXVM+roUTkdqnVr3dUQ5S49HZg4EXj8caBBA93VGIur51NCgox/162b7mqI8jZpEhAeLuPJUhZXz6f0dGDJEpl8w9dXd0VEufviC+DECZmAwci0N0pNnjwZb775JipUqICePXtixIgR8PKSsrZs2YIWLVrA56am6Hbt2mHKlCm4dOkSSuRxjlFycjKSk5Mz/064MYVLamoqUlNTC1Wv9f62Pk5amkxdXb8+8L//Feqp7Sa/62A0Zq8fMN46VKgAbNgANGoE2FqSPdfBKK9DbuydUUbKJwAYP17GRti1CyhatFBPbxdG+24UhNnXwYj1r14tOwHMp+zMlE/Wx7n58k6WLgWefx6oUkVmNdPNiN+N/OI62N+778rBHQ8P2zLK3vUb5XW4lavn06FDwDPPAOfPG6dB0mjfjfwye/2A8dbh8cflf+hddxl7G8qilL5hbqdPn46GDRuiZMmS2Lx5M0aPHo3+/ftj+vTpAIC2bduicuXK+PDDDzPvs3//ftSuXRv79+9HzZo1c33ccePGYfz48TmuX7hwIfzYDYTIcK5evYqePXviypUrCDBQ33dHZBTzichcmE/MJyIjM2JGMZ+ICLA9n+zeKPXKK69gypQpt13mwIEDqFGjRo7rP/30UwwcOBBJSUnw9fUtcKNUbi3p4eHhOH/+fKHDOjU1FWvWrEGbNm3g7e1t033S04HISKBIEemG7qW5f1pB1sFIzF4/YJx1SE0F7r9fekjNmJHf+9pvHRISElC6dGmnbFDpziij5RMgkzJ8+SXw229AuXKFKqHQjPLdKAyzr4OR6n/xRenJ9+uvgKen7fdjPhkvn4CCvS9ffw307SsZ1b59oUsoFCN9NwqK62A/K1cCgwZJRlWpYvv97F2/szKK+ZRTbKycVj5ggMxgrZtRvhsFZfb6AeOsw4kTQLNmwMyZ+T8FXsc2lN2bR0aNGoV+/frddpkqeSR348aNkZaWhmPHjqF69eoICQnBmVvmA7b+ndc5ygDg6+sL31xO7vX29rbbhyM/j+XtDbz3HvCf/wCffCJd0Y3Anq+HDmavH9C/DpMmATt2AHPmyOe0IOyxDs58DXRnlNHyCZBT+JYtk1mDli+3SwmFpvu7YQ9mXwfd9W/YAMyaJT9FihTsMZhPxsun/D5et24yiPSzzwKHDxvjNGPd3w174DoUzrlz0iDVvDlw990Fm9TIXvU76zVgPuVUqRIwejTwyitAjx4yXIsRmP37bfb6Ab3rkJEhDaVFigAdO5pjH8/ujVJlypRBmTJlCnTf3bt3w8PDA2XLlgUANG3aFK+99hpSU1MzV2jNmjWoXr16nuNJGVXTpjI2Qps2uishEn/8Abz5pvwjjYjQXY3zMKNyKlFCeiGEhuquhEgkJQFPPim9jJ97Tnc1zsN8ysliAT76CDhwwBgNUkSA5FJ6OjB3rvvMss18yt3IkUD58kDdurorIRIffgisWydnaBnkjN478tD1xFu2bMHMmTPxxx9/4J9//sEXX3yBESNGoHfv3plh1LNnT/j4+OCpp57Cvn378OWXX2LWrFkYOXKkrrILpWtX+WCcPCkDoBPpkpoK9OsH1Kgh04RSTu6WUZGRQLVqwL//yhFgIp1Gjwbi44FPP5XBgyk7d8unsDA5qKcUcPy47mrI3S1bJrOuzZ4N3ObEDbflbvnk5QX06iX/q44d010Nubtjx2TogwEDzNUZRtvoRr6+vli8eDHGjRuH5ORkVK5cGSNGjMgWRoGBgfjpp58wZMgQREREoHTp0hgzZowppgrNy4ULMoPMq68CL72kuxpyVx4eQO/eQKtWnMY2L+6YUUoBHToA/v4yday7HP0l43nwQenBWa2a7kqMyR3zCQDGjpVhEPbtkx6eRDrUqQOMGSOzWlFO7ppPP/8s497FxMgZMkQ6lCghpxabrdOBtkaphg0bYuvWrXdcrm7duoiJiXFCRc5RqhTw9NPyz6xTJyCPsdqJHCYlRaZWHzVKdyXG5o4ZZbFIY3mnTsCCBUD//rorIneTkiJjH3TooLsSY3PHfALkyO977wHDhwOffaa7GnJHKSlA9eoyFiPlzl3zqVUrOZjSrx+wezdPNybnS0kBAgOBadN0V5J/7BSvwZtvysB4/frxND5yrtRUOXoza5buSsioHnoIeOIJYMQI4NQp3dWQuxk5Enj0Uem1R3SrsDCZKfbzz4HvvtNdDbmbZcukl9T587orISPy8pIDesePS+cDImc6elRmAd20SXclBcNGKQ2KFpWZZLZvl40rImeZNEkGOG/eXHclZGQzZwJ+fsDAgWwcIOfZsEFmAm3RgqeOUt769ZOedAMGAJcv666G3MW5c8DgwUDt2nLWA1FuatYEJkwA3n0XsKGzGJFdZGQATz0FeHqad8B9bafvubumTYEPPgBat9ZdCbmq9Ix0xJyIQVxiHEKLhyLtn0hMmOCJ0aPda7Y9yr8SJeRon1JsHCDHuDWfqnlHondvT7ebbY/yzzob3/LlQPHiuqshV3VzRpX1C8WUwZHIyPDEBx/w/yLd3siRcmYCh2ghR7l1G2rjfyOxfr2nqWbbuxUbpTQaOFAuExJk+uty5fTWQ65jxYEVGLZ6GE4lZJ1/ZUkMQ51uszB2bLTGysgs2raVy4wM4NAhGUODyB5yyyefa2HwqzgLixdHc7Y9uqOwMGDYMPn9r79kJlkie8kto1A7DGOfnIXgYG5D0e15eQGvvSa/HzkChIfLWK5E9pBrPl0JQ/dxs9CmjXnziZt+BvD44zKOy9WruishV7DiwAp0W9Ite1gBUP6x+LNmN6w8tEJTZWRG77wD3Hef7PgRFVZe+ZRSNBaX23bD1ivMJ7Ld1q1ArVrAokW6KyFXkVdGITAWE/7qhhUHmFFkm6QkOTPG2oBOVFh55lNALJbC3PnERikDmDQJOHhQZrri+C1UGOkZ6Ri2ehgUcvkgWeS64auHIz0j3cmVkVk9+yxQvjzw8MPApUu6qyEzu20+QcEC5hPlT+PGQK9ewJNPAjt36q6GzO5OGQUwo8h2/v6yjzdvngzZQlQYrr6Px0YpA6hXT2aSWbIEePtt3dWQmcWciMnZen4TBYWTCScRc8J1puAlxwoIAFaulEFee/TgjKFUcMwnsjeLBfj4YxnY9eGHgfh43RWRmTGjyN6eegoYOlR+1q/XXQ2ZmavnExulDKJrV2DcOJlC9PBh3dWQWcUlxtl1OSIAqFYNWLoU+Pln4L//1V0NmRXziRyhSBHgq69k/LuXX9ZdDZkZM4oc4d13gVatgKef5oE9KjhXzycOdG4gb7wBtGsnO4BEBRFaPNSuyxFZPfAA8OuvwL336q6EzIr5RI5SrhywZo0MKExUUMwocgQvL+DLL6XHuRf3vKmAXD2f2FPKQDw8gCZNZFyp998HTp/WXRGZTWSFSIQFhAEq9/mKLbAgPCAckRUinVwZuYLGjSWnVq8GfvlFdzVkNswncqTateV04yNHgE8+0V0NmVFkhUiU8mZGkf2VLCmzGCclAVOmAKmpuisis4msEInQYq6bT2yUMqBz54CpU6VnwtmzuqshM/H08MSs9rNgsUg43cz698z2M+Hp4amjPHIBSgEzZwIdOwJbtuiuhszk5nwC84kcZMkS4Jln5OAeUX54enhi3sOzAG5DkYPs3ClnxvTuzVP5KH88PTwxu6Pr5hMbpQyobFlg3Trg8mUgKgq4cEF3RWQGZ88CQ4YA7StGY1n3ZSgfUD7b7WEBYVjWfRmia0ZrqpBcgcUCLF8ONGwItG8P7NihuyIyg7Q0YMQIoL6v5FMY84kc5JVXgFGjZGDhjz/WXQ2Zxdy5wKpVQLfa0VjObShykJYt5VS+5ctl1tCMDN0VkRls2QJMnAg8UsN184lnthrUXXcBa9dKeLVrJ78HBuquiozqwgWgTRtpmHrhBSC6ZjQerv4wYk7EIC4xDqHFQxFZIVJaz9PTgZgYIC4OCA0FIiMBT3O2qpMexYoB338PtG0rPxs2yOxXRLlJT5cZiL74Arj/fiC6E/OJHMdiAaZNA65fBwYOlIHQ+/TRXRUZ2ccfy0G9l18GHnzwNttQCvIPj/lEhfDII/L/sGdPyacPP8SNHsREOe3YIQeB69Vz7X08NkoZWK1aMtvVpEmAr6/uasiozp6VHnVxcTLOT+XKcr2nhydaVWqVfeEVK4Bhw4BTN00pGhYGzJoFRJu3dZ2cr3hx4IcfgP792WBOeUtLA/r1AxYtko3wTp3keuYTOZLFArz3nvxepozeWsjYPvgAGDxYGqUmTcq6PkdGMZ/Ijh57DEhOBv75hw1SlLetW6VBqlYtORhsbQ9wxW0onr5ncPXqAYsXS0v6nj0cY4qyS0yU3nTnzkmDVK1at1l4xQqgW7fsYQUAsbFy/YoVDq2VXE9QkEzFXrEicOmSjJVAdLMnn5RTFRYtAh5//DYLMp/Izjw8gNmzZYM+I0OGRSC62f/9nzRIDRsmY5Dl2TjAfCIHeOIJYNw4+X3DBo4xRdnt3i1nwdSpA/z4oxwMzpMLZBQbpUwiI0MGxWvZkrPyUZbixeW0mI0b79AglZ4uW11K5bzNet3w4bIcUQGMGQO0aiWfRSKrxx4Dli0Dune/zULMJ3Kwr76SyWNmzNBdCRnJ/fdL76gZM27TIMV8IgeLjZXG8x49gJQU3dWQUVSvDjz/vMx4HRBwmwVdJKPYKGUSHh4yKF5SEvCf/wB79+quiHTavRv43//k9xdekDHIbismJmfr+c2UAk6elOWICmDyZOC++2TDaulS3dWQTufPy46eUjJL48MP3+EOzCdysOhoGQB95EgZN8jg2+bkQGlpkk+XL8twB6+8cofTp5hP5GDly8usoStXAg89JD3PyX0tXChnHhQtCrz9tozjelsuklFslDKRu+4CNm2S1tKmTWWWEHI/S5dKw+Ts2fnYsI6Ls+9yRLcoVgz47jtpgOjeHXjzTd0VkQ5790rj5PTpwPHjNt6J+UQOZrHIxv277wLvvCM5de2a7qrI2S5dkobyN97IR69e5hM5QefOMk7njh1A48bAkSO6KyJnS0+XRvJevWTYA5u5SEaxUcpkKlYEfv1VNqiCg3VXQ86UkSGnSHXvLv+81q3Lx4QKoaH2XY4oF0WLyhGet9/m4MLu6Jtv5IBJ8eLA9u1ApUo23pH5RE5gsUhPqe+/l54JRYroroic6cAB2dnfsUPGZ+nc2cY7Mp/ISe6/X/531q4NlCqluxpypitXZN9+2jQ5eDJlSj7u7CIZxUYpE/L3l1O3IiJk5obx44GrV3VXRY725pvAW29Jt/OFCwE/v3zcOTJSZmDIq4+6xQKEh8tyRIVgsQCjRwPPPit/v/cecPSo3prI8davB7p0Adq1AzZvzkeDFMB8Iqdq3z5rCvbvvwfWrNFdETnaxYvSw9zHB/jtNxlfzGbMJ3KiqlVlDLygIODYMZk4Lbehgsh1KCXbT5s2yVlQI0fmc0ZGF8koNkqZ3J49wNSpQPPmcroouZ6MDLkcPFg2oO84/kFuPD3lPxuQ887Wv2fOzEfXK6I7S0iQRql775WZZcj1WPOpRQvgiy9kXIw7jn9wK+YTafLZZ0CHDpJT3PFzPUrJT8mSMtPe5s2y058vzCfSZNUqGZ/6iSeA69d1V0OOkJEhMTJpkjSYt2tXgAdxkYxio5TJ3Xuv/JO9cAFo1Eh+J9exYQPQsKGcBlymjGw8F1h0tEyDVb589uvDwuT66OjClEqUQ0AAsG0bUK+eTGs7b57uisieTp6U0/WspxL37CmTchQI84k0WLRIdvqGDQOeeUZ6n5NruH5ddubfekv+fuSRO8xgdTvMJ9Jg8GA5M2LZMs6+7mqUkoMhDz0kky80aQLcfXchHtAFMspLdwFUePXqyTnI3brJlOwHDhTgSBAZSmqq9IAbN056IPj42OmBo6PlpOWYGGnpCg2V7pwGbz0n8ypVSqazHTUKGDRITj/u3Vt3VVRYX30FDBwopxHbbewL5hM5maenDHxet640SgHAJ5/orYkK788/gb59ZXt4/nw7PSjziTTo0UMmuurSBWjdGti3D/Di3rupXbgAPPccsHixzKCe77Nf8mLyjOLH2kWULQv8/LPMzFa1atbsjxUq6K6M8mv/fqBPH2D3bpm6evx4wNvbjk/g6Smtl0RO4u0tR4SaN5eZjwDgxAnmkxldugQMGSI9TDp3lh14uw5qz3wiDZ54AqhZM2usxthYmUyGO3/mkpEhE21MmCA78r/+Kr3N7Yb5RBo0aiQD9O/aJZmUmCi9a0qU0F0Z5dfKlXIAJDVVtqMef9zOT2DijOK/Wxfi4yPTSALA119L6/qECdJDwRPpQEwMMmJjsQfxiEk+hWLHi6F1ldbw9DBHC6q7uHZNpgXdulVOzyRyFd27y+WpU0CNGsCjj8pp7iUCmE9m4ekJ/PWXTLbRs6cdj/ARaWb9f5uRIY3nRYpIL5uadzOfzMJikbFWX3xRZiv29dVdEZF9hIRkDeHx+utyRtZHHwEd26dn9oxJDy6LX8qnYeOljcwogzp2TE7VmzfP8JPhOR0bpVxU+/bA88/LoNgXP1mBNxOGwfvMKXgAiABQNgAY1n4m+jcJw6z2sxBd0/jnmrqyP/8Epk+XfzAREXI0hDt75KrKlwfmzAFGjAC8v12B9z2Hoeh55pNRnT8PvPQSMHYsULEisHMn84lcl4cH8MEHQL9+wLi6K/BxsWEIuMJ8MqrUVJk+/Z575BSnL79kPpFre/FF4NAh4P8eWoEmfsNQ6uopAIAngOoBwNz2QJvj0xEWwIwygq++ksbysWNl3/z555lRueFA5y6qaFFg2jTgwMQVePtQN3ieOZXt9vIJwLIlwH1bT6Hbkm5YcWCFpkrdW2qqDMIZESGzLsTHy/UMK3JlFgvQvz9weNoKfHypG3zPM5+M6quvgNq1pfftoUNyHfOJXF3TpsCecSuwOK0b/K8wn4xq/37pdTB2LPD333Id84lcXVgY8P1TK7Ac3VDiau759Mh+IDYhlhml0YULctZSdLQMyZKeLvnEjModG6VcWXo6qs8dBgtUjjfa+veM1YBHhsLw1cORnpHu7Ard3gMPyMbUCy8Av/8OhIfrrojISdLTUXrCMID5ZFj9+snGVJMmMrhqVJTuioicJD0dvi8xn4zKOktiixYyy97WrdKbk8gtpKfDMvz2+3czVwOWDAUAzChNGjcGfvxRhjtYscI0441rw0YpVxYTA5w6hbwaZD0AVEgAmh8HTiacRMyJGGdW57YyMrJ+V0o2pt5+m2MfkJthPhnSzfm0fTvw3/9KLymOfUBuhflkSNZ8su7cDR0qB/Q4/ia5lRv5lBdrPkUeBxQUM8pJlMq+DdWsmRzQ69WLvaNswUYpVxYXZ9NioUk3Fk+0bXkqmOPHZYri3r2zrvvlF25MkZtiPhlKYqLM9Fm3blYvhD/+kLzixhS5HeaToaSnS2+Du+8G9u7NmhWRg5mTW8pnPgHMKEf79Vfpufnhh1nXff45D+jlBxulXJmN34Q4/xuLF+c3xxHOnQOGD5eNqR9/BCIjpTUdkAFVidwS88kQkpOB994DqlYFJk2SSTJSU+U2L06FQu6K+WQISgHffw80aAD06SON5kWL6q6KSLN85hPAjHKUvXuBzp2B5s2BpCSgenXdFZkXd4ldWWQkEBYGlcdh7gwAJwKATRWB8IBwHPslEhMnypeK7OPff4GaNWVa6TFjgMOHgUGD2POAKL/5VDIpEk8/DZw86dwyXd0jj8gsiA89JAMFv/MO4O9/5/sRubR85tN9wZHo1QvYts25Zbq6adMkm0qWBLZskXFZqlbVXRWRZjfyKa+dCWs+xVQELLAgPCAc338QicWLpdch2ceWLdJQvm8fsHChzEx8//26qzIvNkq5Mk9PYNYsWACoW3LLesrriPZAhocFM9vPxKmTnhg/XnJu2DDgr7+cXbBr2LcPGDkSuHoVKFYM+OQT4MgR4LXXuLNHlCmf+XTyuCe++QaoXBl49FFg/fqsHodku7NnpUfUzp3y9+uvA3/+CXz6KVChgt7aiAwjn/kUd9oTe/bIpADNmsmpZtevO7to87t2DfjsM+CLL+Tv3r2BVask75s00VsbkWHcyCcAORqmrPk0vD2gPOS2d6Jm4u+/PNGjB3DXXcDUqcD5806s10VkZAA//wy8+ab83bixnKJ34IDMssezXwqHL5+ri44Gli2DpXxYtqtPBQDdugPbm4RjWfdliK4Zjddfl548gwcDixZJD59ff9VUtyOlpwMbNshKbthgl8MGKSnAkiVAq1bAPfdIi7m1Ua9LF6B06UI/BZHryUc+dewI/PMPMHOmNPzef780rrgkO2eUUsCmTUDPnnLQYcIEmZ4YkB3oWrUKWzCRC8pHPlWtKt+p5csBPz851axzZz1lO5wDtqGOHAFefFHyqV8/eVgAKFcO6NCBvcuJcriRTyhfPtvV1nz6qhYQFhCGZd2XoXudaHzzjfTkjIyUMzeqVpWD5y7HAfl06RIwYwZQowbQpo287NeuSSNU796Aj0+hn4IAcMQIdxAdDTz8MBATg4zYWOxCPBYln8LgFh3RukpreHpkzVFZoYLMBDd2LPDNN1lHpp56Sm575hnZSDCtFSukG9jNs1aEhckRh+joAj9s9+7yerVoASxeLKfEMKSIbJCPfCpeHHjuOWDIEJkkoEoVuf799+W8/sGDgXr1NK2HvTggo2bNklP0qlUDpkyRCRdKlrRTvUSuLB/55Okpi0dHAwcPyo4MAPz2mzQEDx4sY7aZ+mi6A/Lp99+BiAigRAngySeBZ5+VrCKiO7gpnxAXh/Tgsvi7fBoqb/kJa5p3yJFR990nP+++KzN/+/lJw9RDD8lBqx495AwP03JAPqWkyDhRly8D3bpJr/L//IcN5Y7ARil34ekJtGoFDwB1U1NxatUqtKzYMltY3czXVxpaAOmu6OMj5/a/9Zb0/OnRA+jY0WSznqxYAXTrBqVUtmmeVWwsLN26SdO3DaGVmCgDli9cKAOYt2gBvPqqvDb33OOw6olcVz7zyWKRXolW3t4yGO5HH0nPn7595atsuh6Kdsio1FTpFbVsmTTajRolWV6rFhAVZfIdYiId8plPQPbBbq9dA06flm2mypXlIN+jj8rkJ6Zih3xSSg4gfPWV9Mz//HMZxHzRItm35iDmRPl0I58AwBNAy9RU/PvX9dtmVOnS0hAFABcvytAiAwYAL7wAPPGEbDM0b+6c8u3GTvt4sbHAt98CS5cCX38tB0Pnz5eG85AQh1VP4Ol7ZAMPD+CDD+SLOmOGHAHs1QtIS5Pbf/wxe6O0IaWnA8OG5QgrALAoBQUlLUy36ea5YoUc5SxdWjYo//kna8yI++5jgxSRLs8+Cxw7Jt9RPz+ZTGDPHrlt+3b53fDjTxUyo3bvllwuW1ZObfzmG9lWBaR3a9u2bJAi0qFlSxnDbetW2dGbNEnGnAJk4ob167NmvDSsQubThQvSgaFKFRkYeNo0md0zNVUOMjz+OBukiHQICwNWrpR9msGDpTHm1VfltvR0OSU5IUFvjXdkh328SZOARo3k9XjuOTnYaR13q2NHNkg5AzdRyWaBgfJF3bNHdgCLFZOGqccfB8LD5cs8fjywa5cBdwBjYoBTp3KElZVFQbYOY2IASP07d8ppjPv3yzKHDkmevfMOcPSo7AS2beuM4onoTry85LTZNWtkMO/ISLn+zTfllL7KlYGhQ2WQypQUvbXmKp8ZdfQo8N570hAHyKyp+/fLOu7YIYsOH+6MwonoTiyWrEFxz5+XyVAA2QG8/35pTO7ZU07/v3xZa6m5y2c+XbokvcnfeUdu9/MDfvpJdu5+/FFeg08/lR0/ItKvUiUZviU2VjoVAcAff8gpa6VLA+3aAXPmACdOaC0zd/nMp+RkyaERI7I6WGzfLqcNf/EFcO4csHq1bDeS8zisUWrixIlo1qwZ/Pz8EBQUlOsyJ06cQMeOHeHn54eyZcvixRdfRJr103HDhg0b0LBhQ/j6+qJatWpYsGCBo0qmfAgOlksvL2ldX7hQZnSYPh1o2BCIj5fbv/sO2LhRTnnTKSM21qblNi2LRc+eWY1s770nsyoAwMsvyw7v889LeJO5MaNcV6lSWTs7S5fKxsdDD0nvoTZtshpytm+X0/6seaWTrRn10YRY1KkjPQ5eeEHGqwGkB8auXXJgICKC4x2YHfPJdRUpAljf0hEj5ACYdcbjHj2AV16R206flkaqQ4dkGAWdbM2nz6fFokULoEwZ6bm5cqUc5CtaVLalZs+Wg3mmGvqBcmA+uS4PD2kkB2R/7uhRGYMqI0MOdFkPxisFLFggY8LpPtBnaz4tnxOLTp2kka19ezmN2NrItmKF5G3PnjK+HTmfwxqlUlJS8Oijj2LQoEG53p6eno6OHTsiJSUFmzdvxmeffYYFCxZgzJgxmcscPXoUHTt2ROvWrbF7924MHz4cTz/9NH788UdHlU0FUKKEbEgtWiSty1u2AKGhctvLL0vX9cBAmbWgVy+ZOQtwbm+qPZ7nbFpu7YVzOH4ceOwxYN066XHRtauDiyMtmFHuwddXNqJmz5Yenrt3y9F6QDaoHnpI8qp8eZkt65tv5DZn9/a0NaPWXzqH++6Txrbz54HJkx1cGGnBfHIPFovs+I0bJzt3J05kNUpt2iTbVnffLdtZrVvLRAVWRtyG+vroOZQtK3l78qQclGQDuethPrmPSpXkYPyaNbLNsWSJXB8fL+PjRUTIuEuNGgEDB2bN6GfEfPou9hxSUyVj9+yRBjfrhDmkn8MGOh8/fjwA5Nnq/dNPP2H//v34+eefERwcjPr16+PNN9/Eyy+/jHHjxsHHxwfz5s1D5cqV8e677wIAatasiU2bNmHGjBlo166do0qnQvDxyZqxD5CunwcOyJFA64/VqFHSMl2unOwUlisnO4vt28v5y8eOyXWlSuVvoyYxEdi8WY4yxsXJ5X5VBp8FAOUTcm+JzYBMo1r95TIYW79g607mwoxyPxZL9tn5Zs+Wacit2bRjhwz6CUjj1MCB0msyNFR+6teXMRcA2YEMDpYfr3z+J92wQbrIx8VlZdR/ni6DUjZk1MPzy+Dx+vledTIZ5pN7Cg/P+r17dzm17/ffJZt27pSGHkBOj6tcWZa3bkOFhsqQA0WKSK8rX1+5rkiR/NXw558ydqh1GyouDghubVs+dV/IfHIHzCf3FBgoY8IBki2JiXKgz7oNtW9f1thwTZtKTln370JDZTD16tVl+ycpSa4rXjx/+3inTkkmWred4uKAq5XKYJIN+dRuLvPJyLTNvrdlyxbUqVMHwdbzwAC0a9cOgwYNwr59+9CgQQNs2bIFUVFR2e7Xrl07DL/DQBnJyclITk7O/DvhxghtqampSC3kaJLW+xf2cXRy9jrUqJHVSyqrBjmNxs9PWtvj46WHVZUqwAMPAL/+mtVDyctLNqqqVZNp4K11162bin//lfOBrWNbvfuuNGY98ojct2RJCT3f6sEY1h5YtkTC6ebQsvaKH94eGOwf7JTXhZ+j3B/LSByVUcyn23P2OpQvn9VLKqsGoGpVGUMvPl42evbuBf79F3jmGZngwDozjcUi4+t5esrpgMHBwMiRqYiKAu65JxVJSZJPFSpIYzkA9OkjA//6+8vgmaGhQDEP42QUP0e5P5aRmDGfrI9z86XZOLv+wEDpIdW69c01yM9rr8nO3Zkzst2zfbv0uEpNlZ2/HTtkeT8/2Y56/32ZPfl//0tFyZKSTzdvQ+3aJXk0aZLMOuXrK3kWEgJUzDBOPslrwM9Rbo9nFMwnfZy5Dt7ewL33yo+V9QzN/v2BI0ey9vH27pXJ76pUAebOlYmzANm/8/YGeveWnt9//SV116mTlU/p6TKcSteuckrwCy/IaYbWA4NVQ5hP9qZjG0pbo1R8fHy2sAKQ+Xf8jQE+8lomISEB165dQ9E8puqYNGlSZiv+zX766Sf4+fnZo3ysWbPGLo+jkxHW4eYgs1q1Si4XLcr7NgCYPDln/XndN12lY8D+UuiGC5i1Ggi/aSaJUwESVjH1SqP33gSs2rcKzmKE96Cw7LEOV639fQ3EURnFfLKNEdahbt2so4JWt8sna09Q63b21KnZ18F639mzc943/Uo6NtYzVkYZ4T0oLOaT8fIJMP9nywj13323/Nxs9Wq5HDUq9/usWiUH64Cc+fT773L52GPyc7N0lY45BssnwBjvQ2HYq36jZRTzST/d6xASknPGuvPnJYPuu+/O+3hTpuS+j1e+fB77eEWYT47gzG2ofDVKvfLKK5hy8wntuThw4ABq1KiRn4e1u9GjR2OkdWoTSEt6eHg42rZti4CAgEI9dmpqKtasWYM2bdrA26TThph9HQpa/9yqc/F46uNYWUOh+XEgNAmI8wc2VQQyPCxY3GkOOtXo5MDKs5j9PQDsuw4Jdppv1gwZxXy6PXdeB6NklDu/B7lhPtknnwDzf7bMXj9g/nwCzP8+2Lt+e2QU88n8nyvA/OvAfDIGHdtQ+WqUGjVqFPr163fbZarYOGJYSEgIfrNOG3TDmTNnMm+zXlqvu3mZgICAPHtJAYCvry98c5naw9vb224fDns+li5mX4f81t+9Tnd4eXlh2Oph+MXjVOb14QHhmNl+JqJrRjuizNsy+3sA2Gcd7PUamCGjmE+2ccd1MFpGueN7kNdj2APzyXGP52xmrx8wfz4B5n8f7FW/PR6D+eS4x9PB7OvAfDIGZ25D5atRqkyZMihTpkyBCrpV06ZNMXHiRJw9exZlb8w9uWbNGgQEBKBWrVqZy6xalb2b3Zo1a9C0aVO71EDuJ7pmNB6u/jBiTsQgLjEOocVDEVkhEp4enrpLIztgRpHZMaNcF/OJzI755LqYT2R2zCdzc9iYUidOnMDFixdx4sQJpKenY/fu3QCAatWqwd/fH23btkWtWrXQp08fTJ06FfHx8Xj99dcxZMiQzFbwZ599FrNnz8ZLL72EJ598EuvWrcOSJUvw/fffO6pscgOeHp5oVamV7jJIM2YUGRUziphPZFTMJ2I+kVExn8zLYY1SY8aMwWeffZb5d4MGDQAA69evR6tWreDp6YnvvvsOgwYNQtOmTVGsWDH07dsXEyZMyLxP5cqV8f3332PEiBGYNWsWwsLC8Mknn3CqUCIqNGYUERkV84mIjIr5RET25rBGqQULFmDBggW3XaZixYo5um7eqlWrVti1a5cdKyMiYkYRkXExn4jIqJhPRGRvHroLICIiIiIiIiIi98NGKSIiIiIiIiIicjo2ShERERERERERkdOxUYqIiIiIiIiIiJyOjVJEREREREREROR0bJQiIiIiIiIiIiKnY6MUERERERERERE5HRuliIiIiIiIiIjI6dgoRURERERERERETsdGKSIiIiIiIiIicjo2ShERERERERERkdN56S7AGZRSAICEhIRCP1ZqaiquXr2KhIQEeHt7F/rxdDD7Opi9foDrcCvrd9P6XXUnzKfsuA76mb1+gPlkL/bMJ8D8ny2z1w9wHYzA3vW7a0Yxn3Iy+zqYvX6A63ArW/PJLRqlEhMTAQDh4eGaKyGi20lMTERgYKDuMpyK+URkDswnIjIyd8so5hORedwpnyzKDZrVMzIycPr0aRQvXhwWi6VQj5WQkIDw8HCcPHkSAQEBdqrQucy+DmavH+A63EophcTERJQrVw4eHu51VjHzKTuug35mrx9gPtmLPfMJMP9ny+z1A1wHI7B3/e6aUcynnMy+DmavH+A63MrWfHKLnlIeHh4ICwuz62MGBASY9oNmZfZ1MHv9ANfhZu50dO9mzKfccR30M3v9APOpsByRT4D5P1tmrx/gOhiBPet3x4xiPuXN7Otg9voBrsPNbMkn92lOJyIiIiIiIiIiw2CjFBEREREREREROR0bpfLJ19cXY8eOha+vr+5SCszs62D2+gGuAzmGK7wnXAf9zF4/4Brr4IrM/r6YvX6A62AEZq/fVbnC+2L2dTB7/QDXoaDcYqBzIiIiIiIiIiIyFvaUIiIiIiIiIiIip2OjFBEREREREREROR0bpYiIiIiIiIiIyOnYKEVERERERERERE7HRqnbmDhxIpo1awY/Pz8EBQXlusyJEyfQsWNH+Pn5oWzZsnjxxReRlpaWbZkNGzagYcOG8PX1RbVq1bBgwQLHF5+HSpUqwWKxZPuZPHlytmX27NmDyMhIFClSBOHh4Zg6daqmanM3Z84cVKpUCUWKFEHjxo3x22+/6S4pV+PGjcvxWteoUSPz9uvXr2PIkCEoVaoU/P390bVrV5w5c0ZjxcDGjRvRqVMnlCtXDhaLBV9//XW225VSGDNmDEJDQ1G0aFFERUXh0KFD2Za5ePEievXqhYCAAAQFBeGpp55CUlKSE9fCPTCfmE+FZbaMYj6ZB/OJ+VRYZssngBllFswnY+YTYJ6MYj45IJ8U5WnMmDFq+vTpauTIkSowMDDH7Wlpaeqee+5RUVFRateuXWrVqlWqdOnSavTo0ZnL/PPPP8rPz0+NHDlS7d+/X73//vvK09NTrV692olrkqVixYpqwoQJKi4uLvMnKSkp8/YrV66o4OBg1atXL7V37161aNEiVbRoUfXhhx9qqfdWixcvVj4+PurTTz9V+/btU88884wKCgpSZ86c0V1aDmPHjlW1a9fO9lqfO3cu8/Znn31WhYeHq7Vr16odO3aoJk2aqGbNmmmsWKlVq1ap1157Ta1YsUIBUF999VW22ydPnqwCAwPV119/rf744w/VuXNnVblyZXXt2rXMZdq3b6/q1auntm7dqmJiYlS1atVUjx49nLwmro/5xHwqLLNlFPPJPJhPzKfCMls+KcWMMgvmk/HySSlzZRTzyf75xEYpG8yfPz/X0Fq1apXy8PBQ8fHxmdd98MEHKiAgQCUnJyullHrppZdU7dq1s93vscceU+3atXNozXmpWLGimjFjRp63z507V5UoUSKzfqWUevnll1X16tWdUN2d3XfffWrIkCGZf6enp6ty5cqpSZMmaawqd2PHjlX16tXL9bbLly8rb29vtXTp0szrDhw4oACoLVu2OKnC27s1sDIyMlRISIiaNm1a5nWXL19Wvr6+atGiRUoppfbv368AqO3bt2cu88MPPyiLxaJiY2OdVrs7YT4xnwrKzBnFfDIH5hPzqaDMnE9KMaPMgPlknHxSylwZxXwS9swnnr5XCFu2bEGdOnUQHByceV27du2QkJCAffv2ZS4TFRWV7X7t2rXDli1bnFrrzSZPnoxSpUqhQYMGmDZtWrbuqFu2bEGLFi3g4+OTeV27du1w8OBBXLp0SUe5mVJSUrBz585sr6eHhweioqK0vp63c+jQIZQrVw5VqlRBr169cOLECQDAzp07kZqamm1datSogQoVKhh2XY4ePYr4+PhsNQcGBqJx48aZNW/ZsgVBQUFo1KhR5jJRUVHw8PDAtm3bnF6zO2M+OZcZ8wlwnYxiPpkL88m5mE/6MaPMg/nkfGbMKOaTffPJq9CP4Mbi4+OzBRaAzL/j4+Nvu0xCQgKuXbuGokWLOqfYG4YOHYqGDRuiZMmS2Lx5M0aPHo24uDhMnz49s97KlSvnqNd6W4kSJZxa783Onz+P9PT0XF/Pv/76S1NVeWvcuDEWLFiA6tWrIy4uDuPHj0dkZCT27t2L+Ph4+Pj45DiXPTg4OPOzYzTWunJ7/W/+vJctWzbb7V5eXihZsqRh18tVMZ+cy2z5BLhWRjGfzIX55FzMJ/2YUebBfHI+s2UU80nYM5/crlHqlVdewZQpU267zIEDB7INVmZ0+VmnkSNHZl5Xt25d+Pj4YODAgZg0aRJ8fX0dXapb6dChQ+bvdevWRePGjVGxYkUsWbLE6f+syByYT8wnZ2JGUX4wn5hPzsR8ovxgPjGfnIn5ZH9u1yg1atQo9OvX77bLVKlSxabHCgkJyTErgHVk/ZCQkMzLW0fbP3PmDAICAuz2oS3MOjVu3BhpaWk4duwYqlevnme9QNY66VK6dGl4enrmWp/u2mwRFBSEu+++G4cPH0abNm2QkpKCy5cvZ2tJN/K6WOs6c+YMQkNDM68/c+YM6tevn7nM2bNns90vLS0NFy9eNOx6GQnzKTvmk3OZOaOYT47HfMqO+eRcZs4ngBnlaMyn7MyUT4D5M4r5VPj1crtGqTJlyqBMmTJ2eaymTZti4sSJOHv2bGZ3tjVr1iAgIAC1atXKXGbVqlXZ7rdmzRo0bdrULjUAhVun3bt3w8PDI7P+pk2b4rXXXkNqaiq8vb0z661evbr2rp0+Pj6IiIjA2rVr0aVLFwBARkYG1q5di+eee05rbbZISkrCkSNH0KdPH0RERMDb2xtr165F165dAQAHDx7EiRMn7PrZsKfKlSsjJCQEa9euzQyohIQEbNu2DYMGDQIgn5/Lly9j586diIiIAACsW7cOGRkZaNy4sa7STYP5lB3zybnMnFHMJ8djPmXHfHIuM+cTwIxyNOZTdmbKJ8D8GcV8skM+FXqodBd2/PhxtWvXLjV+/Hjl7++vdu3apXbt2qUSExOVUllThrZt21bt3r1brV69WpUpUybXKUNffPFFdeDAATVnzhxtU4Zu3rxZzZgxQ+3evVsdOXJE/e9//1NlypRRTzzxROYyly9fVsHBwapPnz5q7969avHixcrPz88wU4YuXrxY+fr6qgULFqj9+/erAQMGqKCgoGwzZBjFqFGj1IYNG9TRo0fVr7/+qqKiolTp0qXV2bNnlVIyXWiFChXUunXr1I4dO1TTpk1V06ZNtdacmJiY+TkHoKZPn6527dqljh8/rpSS6UKDgoLUN998o/bs2aMefvjhXKcLbdCggdq2bZvatGmTuuuuuzidsQMwn5hPhWW2jGI+mQfziflUWGbLJ6WYUWbBfDJePillroxiPtk/n9godRt9+/ZVAHL8rF+/PnOZY8eOqQ4dOqiiRYuq0qVLq1GjRqnU1NRsj7N+/XpVv3595ePjo6pUqaLmz5/v3BW5YefOnapx48YqMDBQFSlSRNWsWVO9/fbb6vr169mW++OPP1Tz5s2Vr6+vKl++vJo8ebKWevPy/vvvqwoVKigfHx913333qa1bt+ouKVePPfaYCg0NVT4+Pqp8+fLqscceU4cPH868/dq1a2rw4MGqRIkSys/PTz3yyCMqLi5OY8XyWc3tM9+3b1+llEwZ+sYbb6jg4GDl6+urHnjgAXXw4MFsj3HhwgXVo0cP5e/vrwICAlT//v0z/9GT/TCfmE+FZbaMYj6ZB/OJ+VRYZssnpZhRZsF8MmY+KWWejGI+2T+fLEopVfj+VkRERERERERERLbz0F0AERERERERERG5HzZKERERERERERGR07FRioiIiIiIiIiInI6NUvT/7dixAAAAAMAgf+tZ7CqMAAAAAHZSCgAAAICdlAIAAABgJ6UAAAAA2EkpAAAAAHZSCgAAAICdlAIAAABgJ6UAAAAA2EkpAAAAAHYBeWU/VWZ2zkUAAAAASUVORK5CYII=",
      "text/plain": [
       "<Figure size 1200x1000 with 12 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 初始位置（极坐标：半径，角度）\n",
    "initial_positions_polar = [\n",
    "    (0, 0),\n",
    "    (100, 0),\n",
    "    (98, 40.10),\n",
    "    (112, 80.21),\n",
    "    (105, 119.75),\n",
    "    (98, 159.86),\n",
    "    (112, 199.96),\n",
    "    (105, 240.07),\n",
    "    (98, 280.17),\n",
    "    (112, 320.28)\n",
    "]\n",
    "\n",
    "# 将极坐标转换为直角坐标 (x, y)，角度转为弧度\n",
    "initial_positions = [(r * np.cos(np.deg2rad(theta)), r * np.sin(np.deg2rad(theta))) for r, theta in initial_positions_polar]\n",
    "\n",
    "# 目标位置计算，半径100米，每隔40度分布\n",
    "radius = 100\n",
    "target_positions = [(0, 0)] + [(radius * np.cos(np.deg2rad(i * 40)), radius * np.sin(np.deg2rad(i * 40))) for i in range(9)]\n",
    "\n",
    "# 将初始位置转换为数组\n",
    "positions = np.array(initial_positions)\n",
    "\n",
    "# 用于判断是否固定位置\n",
    "fixed_positions = [False] * len(positions)  # 初始所有无人机位置未固定\n",
    "\n",
    "# 创建图像\n",
    "fig, axes = plt.subplots(3, 4, figsize=(12, 10))  # 4x4 子图阵列\n",
    "plot_index = 0\n",
    "plot_interval = 2\n",
    "\n",
    "# 迭代直到所有无人机都到达目标位置\n",
    "iteration = 0\n",
    "while not all(fixed_positions):\n",
    "    # 每 plot_interval 次迭代绘制一次图形\n",
    "    if iteration % plot_interval == 0 and plot_index < 12:\n",
    "        ax = axes[plot_index // 4, plot_index % 4]  # 获取当前的子图位置\n",
    "        ax.set_xlim(-120, 120)\n",
    "        ax.set_ylim(-120, 120)\n",
    "        ax.set_aspect('equal')\n",
    "\n",
    "        # 画圆表示目标分布的边界\n",
    "        circle = plt.Circle((0, 0), radius, color='blue', fill=False, linestyle='--')\n",
    "        ax.add_artist(circle)\n",
    "\n",
    "        # 画目标位置\n",
    "        target_x, target_y = zip(*target_positions)\n",
    "        ax.plot(target_x, target_y, 'go', label='Target Position')\n",
    "\n",
    "        # 画当前无人机位置\n",
    "        current_x, current_y = zip(*positions)\n",
    "        ax.plot(current_x, current_y, 'ro', label='Current Position')\n",
    "\n",
    "        ax.set_title(f\"Iteration: {iteration + 1}\")\n",
    "        ax.grid(True)\n",
    "\n",
    "        plot_index += 1\n",
    "\n",
    "    # 选择第三架定位飞机\n",
    "    min_distance = float('inf')\n",
    "    chosen_j = None\n",
    "    \n",
    "    for j in range(2, len(positions)):  # 遍历剩余的无人机\n",
    "        distance = np.linalg.norm(np.array(positions[j]) - np.array(target_positions[j]))\n",
    "        if distance < min_distance:\n",
    "            min_distance = distance\n",
    "            chosen_j = j\n",
    "\n",
    "    # 如果所有未固定的无人机都已固定，退出循环\n",
    "    if chosen_j is None:\n",
    "        break\n",
    "\n",
    "    # 计算新的位置和角度\n",
    "    if chosen_j is not None:\n",
    "        # 使用选定的三架飞机 0, 1, chosen_j 计算 θ_k 和 r_k\n",
    "        o_pos = np.array(positions[0])  # 0号无人机的位置\n",
    "        i_pos = np.array(positions[1])  # 1号无人机的位置\n",
    "        j_pos = np.array(positions[chosen_j])  # 选择的第三架无人机的位置\n",
    "    \n",
    "        # 计算角度 θ_i、θ_j（弧度制）\n",
    "        theta_i = np.arctan2(i_pos[1] - o_pos[1], i_pos[0] - o_pos[0])\n",
    "        theta_j = np.arctan2(j_pos[1] - o_pos[1], j_pos[0] - o_pos[0])\n",
    "\n",
    "        # 将 theta_j 调整到 [0, 2π) 范围\n",
    "        if theta_j < 0:\n",
    "            theta_j += 2 * np.pi\n",
    "    \n",
    "        # 遍历所有其他无人机来计算新的位置\n",
    "        for k in range(len(positions)):\n",
    "            if k in [0, 1, chosen_j] or fixed_positions[k]:  # 排除 0, 1, chosen_j 自己以及已固定位置\n",
    "                continue\n",
    "                \n",
    "            k_pos = np.array(positions[k])  # 当前要计算的无人机位置\n",
    "            # θ_k\n",
    "            theta_k = np.arctan2(k_pos[1] - o_pos[1], k_pos[0] - o_pos[0])\n",
    "\n",
    "            # 将 theta_k 调整到 [0, 2π) 范围\n",
    "            if theta_k < 0:\n",
    "                theta_k += 2 * np.pi\n",
    "\n",
    "            # 计算角度和距离的差值\n",
    "            alpha1 = np.deg2rad(cul_a_degree(o_pos, k_pos, i_pos))  # ∠oki\n",
    "            alpha2 = np.deg2rad(cul_a_degree(i_pos, k_pos, j_pos))  # ∠okj\n",
    "            alpha3 = np.deg2rad(cul_a_degree(j_pos, k_pos, o_pos))  # ∠jko\n",
    "\n",
    "            # 计算新的 θ_k，9种情况\n",
    "            # 分3大类（由于i固定，因此只有两大类）\n",
    "            if theta_k < theta_j:   # i < k < j\n",
    "                if theta_j - theta_k < np.pi and theta_k < np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 + theta_j) - np.sin(alpha3) * np.sin(alpha1 - theta_i)) /\n",
    "                        (np.sin(alpha3) * np.cos(alpha1 - theta_i) + np.sin(alpha1) * np.cos(alpha3 + theta_j))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 r_k \n",
    "                    r_k = radius * np.sin(theta_k_new - theta_i + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                elif theta_j - theta_k > np.pi and theta_k < np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 - theta_j) - np.sin(alpha3) * np.sin(alpha1 - theta_i)) /\n",
    "                        (np.sin(alpha3) * np.cos(alpha1 - theta_i) - np.sin(alpha1) * np.cos(alpha3 - theta_j))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 r_k \n",
    "                    r_k = radius * np.sin(theta_k_new - theta_i + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                else:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 + theta_j) - np.sin(alpha3) * np.sin(alpha1 + theta_i)) /\n",
    "                        (np.sin(alpha1) * np.cos(alpha3 + theta_j) - np.sin(alpha3) * np.cos(alpha1 + theta_i))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 r_k \n",
    "                    r_k = radius * np.sin(theta_i - theta_k_new + alpha1) / np.sin(alpha1)\n",
    "\n",
    "            \n",
    "            else:                   # i < j < k\n",
    "                if theta_k < np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 - theta_j) - np.sin(alpha3) * np.sin(alpha1 - theta_i)) /\n",
    "                        (np.sin(alpha3) * np.cos(alpha1 - theta_i) - np.sin(alpha1) * np.cos(alpha3 - theta_j))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 r_k \n",
    "                    r_k = radius * np.sin(theta_k_new - theta_i + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                elif theta_k > np.pi and theta_k - theta_j > np.pi:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha1) * np.sin(alpha3 + theta_j) - np.sin(alpha3) * np.sin(alpha1 + theta_i)) /\n",
    "                        (np.sin(alpha1) * np.cos(alpha3 + theta_j) - np.sin(alpha3) * np.cos(alpha1 + theta_i))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 r_k \n",
    "                    r_k = radius * np.sin(theta_i - theta_k_new + alpha1) / np.sin(alpha1)\n",
    "                    \n",
    "                else:\n",
    "                    theta_k_new = np.arctan(\n",
    "                        (np.sin(alpha3) * np.sin(alpha1 + theta_i) - np.sin(alpha1) * np.sin(alpha3 - theta_j)) /\n",
    "                        (np.sin(alpha1) * np.cos(alpha3 - theta_j) + np.sin(alpha3) * np.cos(alpha1 + theta_i))\n",
    "                    )\n",
    "                    # transform\n",
    "                    if theta_k > np.pi/2 and theta_k < 3*np.pi/2:\n",
    "                        theta_k_new = theta_k_new + np.pi\n",
    "                    # 计算新的 r_k \n",
    "                    r_k = radius * np.sin(theta_i - theta_k_new + alpha1) / np.sin(alpha1)\n",
    "\n",
    "            # 此时k号飞机已经通过计算知道了实际位置，比较更新前后的位置，更优才进行更新\n",
    "            # 计算positions[k]  和  r_k * np.cos(theta_k_new) r_k * np.sin(theta_k_new)    哪个离 target_positions[k]近，如果positions[k] 更近，则更新\n",
    "            # 更新 k 处无人机的位置\n",
    "            # positions[k][0] = r_k * np.cos(theta_k_new)\n",
    "            # positions[k][1] = r_k * np.sin(theta_k_new)\n",
    "\n",
    "            # 计算新位置\n",
    "            new_x = r_k * np.cos(theta_k_new)\n",
    "            new_y = r_k * np.sin(theta_k_new)\n",
    "            \n",
    "            # 计算当前位置与目标位置的距离\n",
    "            current_distance = np.linalg.norm(positions[k] - target_positions[k])\n",
    "            \n",
    "            # 计算新位置与目标位置的距离\n",
    "            new_distance = np.linalg.norm(np.array([new_x, new_y]) - target_positions[k])\n",
    "            \n",
    "            # 如果新位置更接近目标位置，则更新无人机的位置\n",
    "            if new_distance < current_distance:\n",
    "                positions[k][0] = new_x\n",
    "                positions[k][1] = new_y\n",
    "\n",
    "\n",
    "            # 检查更新后无人机是否已到达目标位置\n",
    "            if np.linalg.norm(positions[k] - target_positions[k]) < 1:\n",
    "                fixed_positions[k] = True  # 标记为固定位置\n",
    "                print(f\"固定了:{k}\")\n",
    "\n",
    "    iteration += 1  # 增加迭代次数\n",
    "    if iteration > 24:\n",
    "        break\n",
    "\n",
    "    # 计算初始位置到目标位置的误差率\n",
    "    errors = []\n",
    "    for i in range(len(initial_positions)):\n",
    "        initial_position = np.array(positions[i])\n",
    "        target_position = np.array(target_positions[i])\n",
    "        distance = np.linalg.norm(initial_position - target_position)\n",
    "        error_rate = distance / radius\n",
    "        errors.append(error_rate)\n",
    "    \n",
    "    # 计算总体平均误差率\n",
    "    average_error_rate = np.mean(errors)\n",
    "    \n",
    "    # 打印总体平均误差率\n",
    "    print(f\"总体平均误差率: {average_error_rate:.4f}\")\n",
    "\n",
    "\n",
    "# 设置整体标题\n",
    "plt.suptitle('Drones Position Adjustment Over Iterations', fontsize=16)\n",
    "plt.tight_layout(rect=[0, 0.03, 1, 0.95])\n",
    "\n",
    "# 显示图形\n",
    "# plt.show()\n",
    "plt.savefig('iter.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "id": "7d12bb4a-f3ef-409d-bc51-45f9fcc7de3a",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1000x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import matplotlib.pyplot as plt\n",
    "\n",
    "# 假设平均误差率数据已经在列表中\n",
    "average_error_rates = [\n",
    "    0.0521, 0.0500, 0.0472, 0.0446, 0.0422, 0.0403, 0.0388, 0.0377,\n",
    "    0.0367, 0.0357, 0.0349, 0.0341, 0.0335, 0.0330, 0.0329, 0.0329,\n",
    "    0.0329, 0.0329, 0.0329, 0.0329, 0.0329, 0.0329, 0.0329, 0.0329,\n",
    "    0.0329\n",
    "]\n",
    "\n",
    "# 绘制折线图\n",
    "plt.figure(figsize=(10, 6))\n",
    "plt.plot(range(1, len(average_error_rates) + 1), average_error_rates, marker='o', linestyle='-', color='b')\n",
    "\n",
    "# 设置标题和标签\n",
    "plt.title('Average Error Rate Over Iterations')\n",
    "plt.xlabel('Iteration')\n",
    "plt.ylabel('Average Error Rate')\n",
    "\n",
    "# 显示网格\n",
    "plt.grid(True)\n",
    "\n",
    "# 显示图形\n",
    "# plt.show()\n",
    "plt.savefig('error_rate.png', dpi=300)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "c681e97e-f0c9-4d69-bdf5-de93b8937e05",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
